Edge-disjoint-placement-of-graphs_1978_Journal-of-Combinatorial-Theory-Series-B
影响我的38个思维模型
影响我的38个思维模型影响我的38个思维模型门三少爷2018-06-25 22:55:39理论和概念总是极尽简化之能,以保证它们的普适性。
简化后的理论就像一个个种子,把它交给不同的人,有人直接拿着煮了一锅粥(鸡汤),解了当下饥渴;有人则埋到生活的土壤里,历经数年,悉心浇灌,终于枝繁叶茂,果实累累。
回头再看那些煮粥的人,它们依然在寻寻觅觅,左冲右突,四处寻找新的种子,希望从种子本身汲取养分,依然不知种子的能量只有在土壤之中才能得到发挥。
英国统计学家乔治·博斯(George Box)曾说:所有模型都是错的,但是有一些是有用的。
以下是几年来积累的,影响我的思维模型或者富有哲理的话,是构筑我思维方式的基石。
1、世界的底层是不确定性,世界上的事情没有已定之规(海森堡不确定原理);2、说服力的基础是非理性,人是非理性的;3、时间是价值最重要的维度,人最宝贵的是时间;4、资源是稀缺性;5、人可以隐藏自己的真实想法;6、对未知的恐惧,未知状态理性毫无用武之地;7、变化不是究竟,不是根本,而是现象;8、实了因之所了,非生因之所生。
从本质解决问题,销落诸念,放下杂念,达到空的境界。
每一次都是一种体验。
9、蝴蝶效应:动态的系统中,初始系统的中微小变化带动了系统长期连锁反应,引起结果的迥然不同;10、非连续性,抛却经验的局限性(未来是不可预知的);11、搞懂需求是解决问题的捷径;12、抓住那些不变的东西,并保证他们的质量,生活工作皆如此,例如人的需求,无论什么地位的人基础需求永远是一张舒适的床、良好的人际关系、美食、性生活;13、文化和基因共同促进了人类的发展;14、理性是在感性的基础之上,我们后天学习的东西都是理性,理性是把人往回拉的力量。
但是驱动一个人,是他的内在感受、他的情绪、他的底层操作系统;15、在点上纠结是得不出本质的答案,要摆脱点上的情绪与痛苦,跳出来从线和面上来考虑如何达到我们想要的高度;16、真实我们的思想、思维以言行的形式在现实中传递,会得到反馈,我们害怕自己的真实想法会得到批评,而隐藏或美化自己的真实想法,这种对社会不认同的恐惧,让我们自欺欺人,得到只是暂时的心理安慰,而失去的是根据反馈检验、调整自己的认知的机会。
直觉模糊信息集成理论及应用
徐泽水
2007 年 10 月于北京
前
言
前
言
v
符 号 说 明
X, Θ , Θ , R, R+ , Ω , Δ , Λ x, xi f, g 集合 元素 函数 隶属函数 非隶属函数 犹豫函数 模糊集 直觉模糊集 区间直觉模糊集 直觉模糊数 区间直觉模糊数 得分函数 精确函数 权重向量 数据 方案 方案集 属性 属性集 关联矩阵 决策矩阵 区间决策矩阵 关联测度 距离测度 相似性测度 直觉模糊矩阵当代杰出青年科学直觉模糊信息集成理论及应用
徐泽水 著
科 学 出 版 社
北 京
2
前
言
内
容
简
介
直觉模糊集是传统的模糊集的一种拓展, 它同时考虑了隶属度、 非隶 属度和犹豫度这三个方面的信息, 因而比传统的模糊集在处理模糊性和 不确定性等方面更具灵活性和实用性. 自保加利亚学者 Atanassov 于 1983 年提出直觉模糊集的概念以来, 有关直觉模糊集理论的研究已受到国内 外相关领域学者的极大关注, 并且已被应用于决策、 医疗诊断、 逻辑规划、 模式识别、机器学习和市场预测等诸多领域. 本书主要介绍近年来国内外 学者特别是作者本人在直觉模糊信息的集成方式、直觉模糊集的关联测 度、距离测度和相似性测度、直觉模糊集的聚类算法, 以及基于上述信息 处理工具的直觉模糊决策模型和方法等方面的最新研究成果. 本书可作为模糊数学、运筹学、信息科学和管理科学与工程等领域的 研究人员和工程技术人员的参考书, 以及高等院校有关专业高年级本科 生和研究生的教学用书.
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1978-More-The Levenberg-Marquardt algorithm-implementation and theory
but if D is diagonal, then E has axes along the coordinate directions and the length of the ith semi-axis is A/d..
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We now consider the solution of (2.1) in some generality, and thus the problem (2.3) min{IIf+Jpll : IIDpll~ A} The basis for the Levenberg-Marquardt = p(l) for some
THE LEVE_~BERG-MARQUARDT IMPLEMENTATION
ALGORITHM:
AND THEORY
Jorge J. Mor~
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Introduction Let F: R n ÷ R m be continuously differentiable, of and consider the nonlinear least
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squares problem of finding a local minimizer
(1.1)
Levenberg numerical
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Distributed interactive simulation for group-distance exercise on the web
DISTRIBUTED INTERACTIVE SIMULATION FOR GROUP-DISTANCEEXERCISES ON THE WEBErik Berglund and Henrik ErikssonDepartment of Computer and Information ScienceLinköping UniversityS-581 83 Linköping, SwedenE-mail: {eribe, her}@ida.liu.seKEYWORDS: Distributed Interactive Simulation, Distance Education, Network, Internet, Personal ComputerABSTRACTIn distributed-interactive simulation (DIS), simulators act as elements of a bigger distributed simulation. A group-distance exercise (GDE) based on the DIS approach can therefore enable group training for group members participating from different locations. Our GDE approach, unlike full-scale DIS systems, uses affordable simulators designed for standard hardware available in homes and offices.ERCIS (group distance exERCISe) is a prototype GDE system that we have implemented. It takes advantage of Internet and Java to provide distributed simulation at a fraction of the cost of full-scale DIS systems.ERCIS illustrates that distributed simulation can bring advanced training to office and home computers in the form of GDE systems.The focus of this paper is to discuss the possibilities and the problems of GDE and of web-based distributed simulation as a means to provide GDE. INTRODUCTIONSimulators can be valuable tools in education. Simulators can reduce the cost of training and can allow training in hazardous situations (Berkum & Jong 1991). Distributed-interactive simulation (DIS) originated in military applications, where simulators from different types of forces were connected to form full battle situations. In DIS, individual simulators act as elements of a bigger distributed simulation (Loper & Seidensticker 1993).Thus, DIS could be used to create a group-distance exercise (GDE), where the participants perform a group exercise from different locations. Even though DIS systems based on complex special-hardware simulators provide impressive training tools, the cost and immobility of these systems prohibit mass training.ERCIS (group distance exERCISe) is a prototype GDE system that uses Internet technologies to provide affordable DIS support. Internet (or Intranet) technologies form a solid platform for GDE systems because they are readily available, and because they provide high level of support for network communication and for graphical simulation. ERCIS, therefore, takes advantage of the programming language Java, to combine group training, distance education and real-time interaction at a fraction of the cost of full-scale DIS systems.In this paper we discuss the possibilities and the problems of GDE and of web-based distributed simulation as a means to provide GDE. We do this by discussing and drawing conclusions from the ERCIS project.BACKGROUNDLet us first provide some background on GDE, DIS, distributed objects, ERCIS’s military application, and related work.Group-Distance Exercise (GDE)The purpose of GDE is to enable group training in distance education through the use of DIS. Unlike full-scale DIS systems, our GDE approach assumes simulators designed for standard hardware available in homes and offices. This approach calls for software-based simulators which are less expensive to use, can be multiplied virtually limitlessly, and can enable training with expensive, dangerous and/or non-existing equipment.A thorough background on the GDE concept can be found in Computer-Based Group-Distance Exercise (Berglund 1997).Distributed Interactive Simulation (DIS)DIS originated as a means to utilize military simulators in full battle situations by connecting them (Loper & Seidensticker 1993). As a result it becomes possible tocombine the use of advanced simulators and group training.The different parts of DIS systems communicate according to predefined data packets (IEEE 1995) that describe all necessary data on the bit level. The implementation of the communication is, therefore, built into DIS systems.Distributed ObjectsDistributed objects (Orfali et al. 1996) can be characterized as network transient objects, objects that can bridge networks. Two issues must be addressed when dealing with distributed objects: to locate them over the network and to transform them from abstract data to a transportation format and vice versa.The common object request broker architecture (CORBA) is a standard protocol for distributed objects, developed by the object management group (OMG). CORBA is used to cross both networks and programming languages. In CORBA, all objects are distributed via the object request broker (ORB). Objects requesting service of CORBA object have no knowledge about the location or the implementation of the CORBA objects (Vinoski 1997).Remote method invocation (RMI) is Java’s support for distributed objects among Java programs. RMI only provides the protocol to locate and distribute abstract data, unlike CORBA. In the ERCIS project we chose RMI because ERCIS is an all Java application. It also provided us with an opportunity to assess Java’s support for distributed objects.RBS-70 Missile UnitERCIS supports training of the RBS-70 missile unit of the Swedish anti-aircraft defense. The RBS-70 missile unit’s main purpose is to defend objects, for instance bridges, against enemy aircraft attacks, see Figure 1. The RBS-70 missile unit is composed of sub units: two intelligence units and nine combat units. The intelligence units use radar to discover and calculate flight data of hostile aircraft. Guided by the intelligence unit, the combat units engage the aircraft with RBS-70 missiles. (Personal Communication).Intelligence unitCombat unitData transferFigure 1. The RBS-70 missile unit. Its main purpose is to defend ground targets.During training, the RBS-70 unit uses simulators, for instance, to simulate radar images. All or part of the RBS-70 unit’s actual equipment is still used (Personal Communication).Related WorkIn military applications, there are several examples of group training conducted using distributed simulation. For instance, MIND (Jenvald 1996), Janus, Eagle, the Brigade/Battalion Simulation (Loper & Seidensticker 1993), and ABS 2000.C3Fire (Granlund 1997) is an example of a tool for group training, in the area of emergency management, that uses distributed simulation.A common high-level architecture for modeling and simulation, that will focus on a broader range of simulators than DIS, is being developed (Duncan 1996). There are several educational applets on the web that use simulation; see for instance the Gamelan applet repository. These applets are, however, generally small and there are few, if any, distributed simulations. ERCISERCIS is a prototype GDE system implemented in Java for Internet (or Intranets). It supports education of the RBS-70 missile unit by creating a DIS of that group’s environment. We have used RMI to implement the distribution of the system.ERCIS has two principal components: the equipment simulators and the simulator server, see Figure 2. A maximum of 11 group members can participate in a single ERCIS session, representing the 11 sub-unit leaders, see Figure 3. The group members join by loading an HTML document with an embedded equipment-simulator applet.Simulator serverIntelligence unit equipmentsimulatorCombat unit equipmentsimulatorFigure 2. The principal parts of ERCIS. The equipment simulators are connected to one another through the simulator server.Figure 3. A full ERCIS session. 11 equipment simulators can be active in one ERCIS session at a time. The equipment simulators communicate via the simulator server.Simulator ServerThe simulator server controls a microworld of the group’s environment, including simulated aircraft, exercise scenario and geographical information.The simulator server also distributes network communication among the equipment simulators. The reason for this client-server type of communication is that Java applets are generally only allowed to connect to the computer they were loaded from (Flanagan 1997).Finally, the simulator server functions as a point of reference by which the distributed parts locate one another. The simulator-server computer is therefore the only computer specified prior to an ERCIS session.Equipment SimulatorsThe equipment simulators simulate equipment used by the RBS-70 sub units and also function as user interfaces for the group members. There are two types of equipment simulators: the intelligence-unit equipment simulator and combat-unit equipment simulator.Intelligence Unit Equipment SimulatorThe intelligence-unit’s equipment simulator, see Figure 4,contains a radar simulator and a target-tracking simulator . The radar simulator monitors the air space. The target-tracking simulator performs part of the work of three intelligence-unit personnel to approximate position,speed and course of three aircraft simultaneously.The intelligence-unit leader’s task is to distribute the hostile aircraft among the combat units and to send approximated information to them.Panel used to send information to the combat unit equipment simulator.Target-tracking symbol used to initate target tracking.Simulated radarFigure 4. The user interface of the intelligence unit equipment simulator, running on a Sun Solaris Applet Viewer.Combat Unit Equipment SimulatorThe combat unit equipment simulator, see Figure 5,contains simulators of the target-data receiver and the RBS-70 missile launcher and operator .The target-data receiver presents information sent from the intelligence unit. The information is recalculated relative to the combat unit’s position and shows information such as: the distance and direction to the target. The RBS-70 missile launcher and operator represents the missile launcher and its crew. Based on the intelligence unit’s information it can locate, track and fire upon the target.The combat-unit leader’s task is to assess the situation and to grant permission to fire if all criteria are met.Switch used to grant fire permissionFigure 5. The user interface of the combat unit equipment simulator, running on a Windows 95 Applet Viewer.DISCUSSIONLet us then, with experience from the ERCIS project, discuss problems and possibilities of GDE though DIS and of the support Internet and Java provide for GDE. Pedagogical valueEducators can use GDE to introduce group training at an early stage by, for instance, simplifying equipment and thereby abstracting from technical details. Thus, GDE can focus the training on group performance.GDE could also be used to support knowledge recapitulation for expert practitioners. To relive the group’s tasks and environment can provide a more vivid experience than notes and books.GDE systems can automate collection and evaluation of performance statistics. It is possible to log sessions and replay them to visualize comments on performance in after-action reviews (Jenvald 1996).To fully assess the values of GDE, however, real-world testing is required.SecurityAccess control, software authentication, and communication encryption are examples of security issues that concern GDE and distributed simulators. Java 1.1 provides basic security, which includes fine-grained access control, and signed applets. The use of dedicated GDE Intranets would increase security, especially access control. It would, however, reduce the ability to chose location from where to participate.Security restrictions, motivated or not, limit applications. ERCIS was designed with a client-server type of communication because web browsers enforce security restrictions on applets (Flanagan 1997). Peer-to-peer communication would have been more suitable, from the perspective of both implementation and scalability. We are not saying that web browsers should give applets total freedom. In ERCIS, it would have sufficed if applets were allowed to make remote calls to RMI objects regardless of their location.Performance characteristicsOur initial concerns about the speed of RMI calls and of data transfer over Internet proved to be unfounded. The speed of communication is not a limiting factor for ERCIS. For instance, a modem link (28.8 kilobits per second) is sufficient to participate in exercises.Instead the speed of animation limits ERCIS. To provide smooth animation, ERCIS, therefore, requires more than the standard hardware of today, for instance a Pentium Pro machine or better.ScalabilityIn response to increased network load, ERCIS scales relatively well, because the volume of the data that is transmitted among the distributed parts is very small, for instance, 1 Kbytes.Incorporating new and better simulators in ERCIS requires considerable programming effort. In a full-scale GDE system it could be beneficial to modularize the simulators in a plug-and-play fashion, to allow variable simulator complexity.Download timeThe download time for applets the size of ERCIS’s equipment simulator can be very long. One way to overcome this problem is to create Java archive files (JAR files). JAR files aggregate many files into one and also compress them to decrease the download time considerably. Push technology such as Marimba’s Castanet could also be used to provide automatic distribution of the equipment-simulator software. Distributed objectsDistributed objects, such as RMI, provide a high level of abstraction in network communication compared to the DIS protocol. There are several examples of typical distributed applications that do not utilize distributed objects but that would benefit greatly from this approach. Two examples are the Nuclear Power Plant applet (Eriksson 1997), and NASA’s distributed control of the Sojourner.CONCLUSIONERCIS is a GDE prototype that can be used in training under teacher supervision or as part of a web site where web pages provide additional information. The system illustrates that the GDE approach can provide equipment-free mass training, which is beneficial, especially in military applications where training can be extremely expensive.Java proved to be a valuable tool for the implementation of ERCIS. Java’s level of abstraction is high in the two areas that concern ERCIS: animation and distributed objects. Java’s speed of animation is, however, too slow to enable acceptable performance for highly graphic-oriented simulators. Apart from this Java has supplied the support that can be expected from a programming language, for instance C++.Using RMI to implement distribution was straightforward. Compared to the DIS protocol, RMI provides a flexible and dynamic communication protocol. In conclusion, ERCIS illustrates that it is possible to use Internet technologies to develop affordable DIS systems. It also shows that distributed simulations can bring advanced training to office and home computers in the form of GDE systems.AcknowledgmentsWe would like to thank Major Per Bergström at the Center for Anti-Aircraft Defense in Norrtälje, Sweden for supplying domain knowledge of the RBS-70 missile unit. This work has been supported in part by the Swedish National Board for Industrial and Technical Development(Nutek) grant no. 93-3233, and by the Swedish Research Council for Engineering Science (TFR) grant no. 95-186. REFERENCESBerglund E. (1997) Computer-Based Group Distance Exercise, M.Sc. thesis no. 97/36, Department of Computer and Information Science, Linköping University (http://www.ida.liu.se/~eribe/publication/ GDE.zip: compressed postscript file).van Berkum J, de Jong T. (1991) Instructional environments for simulations Education & Computing vol. 6: 305-358.Duncan C. (1996) The DoD High Level Architecture and the Next Generation of DIS, Proceedings of the Fourteenth Workshop on Interoperability of Distributed Simulation, Orlando, Florida.Eriksson H. (1996) Expert Systems as Knowledge Servers, IEEE Expert vol. 11 no. 3: 14 -19. Flanagan, D. (1997) Java in a Nutshell 2nd Edition, O’Reilly, Sebastopol, CA.Granlund R. (1997) C3Fire A Microworld Supporting Emergency Management Training, licentiate thesis no.598, Department of Computer and Information Science 598, Department of Computer and Information Science Linköping University.IEEE (1995) IEEE Standard for Distributed Interactive Simulation--Application Protocols, IEEE 1278.1-1995 (Standard): IEEE.Jenvald J. (1996) Simulation and Data Collection in Battle Training, licentiate thesis no. 567, Department of Computer and Information Science, Linköping University.Loper M, Seidensticker S. (1994) The DIS Vision: A Map to the Future of Distributed Simulation, Orlando, Florida: Institute for Simulation & Training (/SISO/dis/library/vision.doc) Orfali R, Harkey D, Edwards J. (1996) The Essential Distributed Objects Survival Guide John Wiley, New York.Vinoski S. (1997) CORBA: Integrating Diverse Applications Within Distributed Heterogeneous Environments, IEEE Communications, vol. 14, no. 2.RESOURCES AT THE WEBThe OMG home page: /CORBA JavaSoft’s Java 1.1 documentation: /-products/jdk/1.1/docs/index.htmlThe Gamelan applet repository: / Marimba’s Castanet home page: http://www.marimba.-com/products/castanet.htmlThe Nuclear Power Plant Applet (Eriksson 1995): http://-www.ida.liu.se/∼her/npp/demo.htmlNASAS Soujourner, The techical details on the control distribution of NASAS Soujourner: /features/1997/july/juicy.wits.details.html AuthorsErik Berglund is a doctoral student of computer science at Linköping University. His research interests include knowledge acquisition, program understanding, software engineering, and computer supported education. He received his M.Sc. at Linköping University in 1997. Henrik Eriksson is an assistant professor of computer science at Linköping University. His research interests include expert systems, knowledge acquisition, reusable problem-solving methods and medical Informatics. He received his M.Sc. and Ph.D. at Linköping University in 1987 and 1991. He was a postdoctoral fellow and research scientist at Stanford University between 1991 and 1994. Since 1996, he is a guest researcher at the Swedish Institute for Computer Science (SICS).。
小波分析发展历史
“小波分析” 是分析原始信号各种 变化的特性,进一步用于数据压缩、噪 声去除、特征选择等。 例如歌唱信号:是高音还是低音, 发声时间长短、起伏、旋律等。从平稳 的波形发现突变的尖峰。小波分析是利 用多种 “小波基函数” 对 “原始信号 ” 进行分解。
小波的时间和频率特性
时间A
时间B
运用小波基,可以提取信号中的“指定时间” 运用小波基,可以提取信号中的“指定时间”和“指定频率”的变化。 指定频率” 时间:提取信号中“指定时间”(时间A或时间B 时间:提取信号中“指定时间”(时间A或时间B)的变化。顾 名思义,小波在某时间发生的小的波动。 频率:提取信号中时间A 频率:提取信号中时间A的比较慢速变化,称较低频率成分;而 提取信号中时间B 提取信号中时间B的比较快速变化,称较高频率成分。
母小波的例子:
Harr小波: Harr小波:
1, 0 ≤ t ≤ 1/2 ψ(t) = - 1, 1/2 < t < 1 0, others 0,
母小波的例子:
Mexico草帽小波: Mexico草帽小波:
2 −1 / 4 2 -t 2 / 2 ψ(t) = π (1 - t ) e 3
连续小波变换:
− “恒Q性质”: “恒Q
的中心为ω 假设ψ t)的中心为t 有效宽度为D 假设ψ(t)的中心为t0,有效宽度为Dt; Ψ(ω)的中心为ω0,有 效宽度为D 效宽度为Dω;则ψa,b(t)提取的是f(t)在窗口[b+at0-aDt/2, (t)提取的是f(t)在窗口[ b+at0+aDt/2]|中的性质,相应地从频域上说Ψa,b(ω)提取地是 /2]|中的性质,相应地从频域上说Ψ F(ω)在窗口[ω0/a-Dω/(2a), ω0/a+Dω/(2a)]中的性质,因此对于 在窗口[ /(2a)] 小波来说时域窗口宽度和频域窗口宽度的乘积始终为D 小波来说时域窗口宽度和频域窗口宽度的乘积始终为DtDω。
新教伦理与资本主义精神新版英文译者前言
The Protestant ethic and the spirit of capitalism/Max Weber; “Prefatory remarks” to
Collected essays in the sociology of religion [“Vorbemerkung,” Gesammelte Aufsätze
Publisher and Editor: Claude Teweles Production Editor: Jim Ballinger Copyeditor: Susan Converse-Winslow Proofreaders: Renée M. Burkhammer and Dawn VanDercreek Assistant Editors: Casey Haymes, Josh Levine, Raoul Limeres, Heather Setrakian, and Kate Shaffar Tography: Synergistic Data Systems Cover Design: Marnie Kenney
The Task of the Investigation . . . . . . . . . . . . . . . . . . . 47
Part II: The Vocational Ethic of Ascetic Protestantism
Chapter IV.
The Religious Foundations of This-Worldly Asceticism . . . . . . . . . . 53 A. Calvinism . . . . . . . . . . . . . . . . . . . . . . . . . 55 B. Pietism . . . . . . . . . . . . . . . . . . . . . . . . . . 80 C. Methodism . . . . . . . . . . . . . . . . . . . . . . . . . 89 D. The Baptizing Sects and Churches. . . . . . . . . . . . . . . . 93
Golledge和空间分析的心理学传统
Golledge和空间分析的心理学传统(二)三、Golledge的行为地理学研究本部分我们简要介绍Golledge的行为地理学研究,这是Golledge三个主要研究方向的第一个。
(1) 行为地理学的肇始1960-1970年代,Golledge是地理学理论革命/计量革命的重要人物,并且在行为地理学研究领域做出重要贡献。
在这一阶段,Golldege教授早期的主要合作者是他在Iowa大学攻博士期间的同学和朋友,包括William A.V.Clark(UCLA地理系教授)、Gerard Rushton(Iowa地理系教授)、Douglas M. Amedeo(原UC Irvine教授,内布拉斯加大学林肯分校教授),也包括1966-1977年在美国俄亥俄州立大学(OSU)地理系工作期间的同事Lawrence Brown教授(空间扩散研究专家)、Kevin R. Cox教授(社会网络专家)、Leslie King教授(空间分析专家)、Emilio Casetti教授(差分方程专家)、John N. Rayner教授(自然地理专家)等,还包括他在澳大利亚的朋友Robert Stimson教授(澳大利亚昆士兰大学)等。
他跟他的学生也有很好的合作,Ronald Briggs教授是Golldege的第一个博士生,1972年获得OSU博士学位,后曾美国UT Austin和UT Dallas 的教授。
我个人认为Golledge教授可能属于无师自通的类型的学者,有没有导师指导看不上并不重要,他非常容易跟别人合作。
Golledge和他的合作者们对经典的地理学理论革命/计量革命发出了挑战。
我们都知道地理学理论革命/计量革命有两个主要的理论源泉:位置分析(Locational analysis)和区域分析(regional analysis),分别来自“空间分析的工程学传统”、“空间分析的经济学传统”。
这些基本上都是从运筹学、经济学上引进过来的,它们有非常清晰的空间概念,我们应用这些分析方法时,假设大部分的空间变量反映客观现实,并且在大多数情况下,地理学计量分析的理论及其模型是静态的。
斯普林格数学研究生教材丛书
《斯普林格数学研究生教材丛书》(Graduate Texts in Mathematics)GTM001《Introduction to Axiomatic Set Theory》Gaisi Takeuti, Wilson M.Zaring GTM002《Measure and Category》John C.Oxtoby(测度和范畴)(2ed.)GTM003《Topological Vector Spaces》H.H.Schaefer, M.P.Wolff(2ed.)GTM004《A Course in Homological Algebra》P.J.Hilton, U.Stammbach(2ed.)(同调代数教程)GTM005《Categories for the Working Mathematician》Saunders Mac Lane(2ed.)GTM006《Projective Planes》Daniel R.Hughes, Fred C.Piper(投射平面)GTM007《A Course in Arithmetic》Jean-Pierre Serre(数论教程)GTM008《Axiomatic set theory》Gaisi Takeuti, Wilson M.Zaring(2ed.)GTM009《Introduction to Lie Algebras and Representation Theory》James E.Humphreys(李代数和表示论导论)GTM010《A Course in Simple-Homotopy Theory》M.M CohenGTM011《Functions of One Complex VariableⅠ》John B.ConwayGTM012《Advanced Mathematical Analysis》Richard BealsGTM013《Rings and Categories of Modules》Frank W.Anderson, Kent R.Fuller(环和模的范畴)(2ed.)GTM014《Stable Mappings and Their Singularities》Martin Golubitsky, Victor Guillemin (稳定映射及其奇点)GTM015《Lectures in Functional Analysis and Operator Theory》Sterling K.Berberian GTM016《The Structure of Fields》David J.Winter(域结构)GTM017《Random Processes》Murray RosenblattGTM018《Measure Theory》Paul R.Halmos(测度论)GTM019《A Hilbert Space Problem Book》Paul R.Halmos(希尔伯特问题集)GTM020《Fibre Bundles》Dale Husemoller(纤维丛)GTM021《Linear Algebraic Groups》James E.Humphreys(线性代数群)GTM022《An Algebraic Introduction to Mathematical Logic》Donald W.Barnes, John M.MackGTM023《Linear Algebra》Werner H.Greub(线性代数)GTM024《Geometric Functional Analysis and Its Applications》Paul R.HolmesGTM025《Real and Abstract Analysis》Edwin Hewitt, Karl StrombergGTM026《Algebraic Theories》Ernest G.ManesGTM027《General Topology》John L.Kelley(一般拓扑学)GTM028《Commutative Algebra》VolumeⅠOscar Zariski, Pierre Samuel(交换代数)GTM029《Commutative Algebra》VolumeⅡOscar Zariski, Pierre Samuel(交换代数)GTM030《Lectures in Abstract AlgebraⅠ.Basic Concepts》Nathan Jacobson(抽象代数讲义Ⅰ基本概念分册)GTM031《Lectures in Abstract AlgebraⅡ.Linear Algabra》Nathan.Jacobson(抽象代数讲义Ⅱ线性代数分册)GTM032《Lectures in Abstract AlgebraⅢ.Theory of Fields and Galois Theory》Nathan.Jacobson(抽象代数讲义Ⅲ域和伽罗瓦理论)GTM033《Differential Topology》Morris W.Hirsch(微分拓扑)GTM034《Principles of Random Walk》Frank Spitzer(2ed.)(随机游动原理)GTM035《Several Complex Variables and Banach Algebras》Herbert Alexander, John Wermer(多复变和Banach代数)GTM036《Linear Topological Spaces》John L.Kelley, Isaac Namioka(线性拓扑空间)GTM037《Mathematical Logic》J.Donald Monk(数理逻辑)GTM038《Several Complex Variables》H.Grauert, K.FritzsheGTM039《An Invitation to C*-Algebras》William Arveson(C*-代数引论)GTM040《Denumerable Markov Chains》John G.Kemeny, urie Snell, Anthony W.KnappGTM041《Modular Functions and Dirichlet Series in Number Theory》Tom M.Apostol (数论中的模函数和Dirichlet序列)GTM042《Linear Representations of Finite Groups》Jean-Pierre Serre(有限群的线性表示)GTM043《Rings of Continuous Functions》Leonard Gillman, Meyer JerisonGTM044《Elementary Algebraic Geometry》Keith KendigGTM045《Probability TheoryⅠ》M.Loève(概率论Ⅰ)(4ed.)GTM046《Probability TheoryⅡ》M.Loève(概率论Ⅱ)(4ed.)GTM047《Geometric Topology in Dimensions 2 and 3》Edwin E.MoiseGTM048《General Relativity for Mathematicians》Rainer.K.Sachs, H.Wu伍鸿熙(为数学家写的广义相对论)GTM049《Linear Geometry》K.W.Gruenberg, A.J.Weir(2ed.)GTM050《Fermat's Last Theorem》Harold M.EdwardsGTM051《A Course in Differential Geometry》Wilhelm Klingenberg(微分几何教程)GTM052《Algebraic Geometry》Robin Hartshorne(代数几何)GTM053《A Course in Mathematical Logic for Mathematicians》Yu.I.Manin(2ed.)GTM054《Combinatorics with Emphasis on the Theory of Graphs》Jack E.Graver, Mark E.WatkinsGTM055《Introduction to Operator TheoryⅠ》Arlen Brown, Carl PearcyGTM056《Algebraic Topology:An Introduction》W.S.MasseyGTM057《Introduction to Knot Theory》Richard.H.Crowell, Ralph.H.FoxGTM058《p-adic Numbers, p-adic Analysis, and Zeta-Functions》Neal Koblitz(p-adic 数、p-adic分析和Z函数)GTM059《Cyclotomic Fields》Serge LangGTM060《Mathematical Methods of Classical Mechanics》V.I.Arnold(经典力学的数学方法)(2ed.)GTM061《Elements of Homotopy Theory》George W.Whitehead(同论论基础)GTM062《Fundamentals of the Theory of Groups》M.I.Kargapolov, Ju.I.Merzljakov GTM063《Modern Graph Theory》Béla BollobásGTM064《Fourier Series:A Modern Introduction》VolumeⅠ(2ed.)R.E.Edwards(傅里叶级数)GTM065《Differential Analysis on Complex Manifolds》Raymond O.Wells, Jr.(3ed.)GTM066《Introduction to Affine Group Schemes》William C.Waterhouse(仿射群概型引论)GTM067《Local Fields》Jean-Pierre Serre(局部域)GTM069《Cyclotomic FieldsⅠandⅡ》Serge LangGTM070《Singular Homology Theory》William S.MasseyGTM071《Riemann Surfaces》Herschel M.Farkas, Irwin Kra(黎曼曲面)GTM072《Classical Topology and Combinatorial Group Theory》John Stillwell(经典拓扑和组合群论)GTM073《Algebra》Thomas W.Hungerford(代数)GTM074《Multiplicative Number Theory》Harold Davenport(乘法数论)(3ed.)GTM075《Basic Theory of Algebraic Groups and Lie Algebras》G.P.HochschildGTM076《Algebraic Geometry:An Introduction to Birational Geometry of Algebraic Varieties》Shigeru IitakaGTM077《Lectures on the Theory of Algebraic Numbers》Erich HeckeGTM078《A Course in Universal Algebra》Stanley Burris, H.P.Sankappanavar(泛代数教程)GTM079《An Introduction to Ergodic Theory》Peter Walters(遍历性理论引论)GTM080《A Course in_the Theory of Groups》Derek J.S.RobinsonGTM081《Lectures on Riemann Surfaces》Otto ForsterGTM082《Differential Forms in Algebraic Topology》Raoul Bott, Loring W.Tu(代数拓扑中的微分形式)GTM083《Introduction to Cyclotomic Fields》Lawrence C.Washington(割圆域引论)GTM084《A Classical Introduction to Modern Number Theory》Kenneth Ireland, Michael Rosen(现代数论经典引论)GTM085《Fourier Series A Modern Introduction》Volume 1(2ed.)R.E.Edwards GTM086《Introduction to Coding Theory》J.H.van Lint(3ed .)GTM087《Cohomology of Groups》Kenneth S.Brown(上同调群)GTM088《Associative Algebras》Richard S.PierceGTM089《Introduction to Algebraic and Abelian Functions》Serge Lang(代数和交换函数引论)GTM090《An Introduction to Convex Polytopes》Ame BrondstedGTM091《The Geometry of Discrete Groups》Alan F.BeardonGTM092《Sequences and Series in BanachSpaces》Joseph DiestelGTM093《Modern Geometry-Methods and Applications》(PartⅠ.The of geometry Surfaces Transformation Groups and Fields)B.A.Dubrovin, A.T.Fomenko, S.P.Novikov (现代几何学方法和应用)GTM094《Foundations of Differentiable Manifolds and Lie Groups》Frank W.Warner(可微流形和李群基础)GTM095《Probability》A.N.Shiryaev(2ed.)GTM096《A Course in Functional Analysis》John B.Conway(泛函分析教程)GTM097《Introduction to Elliptic Curves and Modular Forms》Neal Koblitz(椭圆曲线和模形式引论)GTM098《Representations of Compact Lie Groups》Theodor Breöcker, Tammo tom DieckGTM099《Finite Reflection Groups》L.C.Grove, C.T.Benson(2ed.)GTM100《Harmonic Analysis on Semigroups》Christensen Berg, Jens Peter Reus Christensen, Paul ResselGTM101《Galois Theory》Harold M.Edwards(伽罗瓦理论)GTM102《Lie Groups, Lie Algebras, and Their Representation》V.S.Varadarajan(李群、李代数及其表示)GTM103《Complex Analysis》Serge LangGTM104《Modern Geometry-Methods and Applications》(PartⅡ.Geometry and Topology of Manifolds)B.A.Dubrovin, A.T.Fomenko, S.P.Novikov(现代几何学方法和应用)GTM105《SL₂ (R)》Serge Lang(SL₂ (R)群)GTM106《The Arithmetic of Elliptic Curves》Joseph H.Silverman(椭圆曲线的算术理论)GTM107《Applications of Lie Groups to Differential Equations》Peter J.Olver(李群在微分方程中的应用)GTM108《Holomorphic Functions and Integral Representations in Several Complex Variables》R.Michael RangeGTM109《Univalent Functions and Teichmueller Spaces》Lehto OlliGTM110《Algebraic Number Theory》Serge Lang(代数数论)GTM111《Elliptic Curves》Dale Husemoeller(椭圆曲线)GTM112《Elliptic Functions》Serge Lang(椭圆函数)GTM113《Brownian Motion and Stochastic Calculus》Ioannis Karatzas, Steven E.Shreve (布朗运动和随机计算)GTM114《A Course in Number Theory and Cryptography》Neal Koblitz(数论和密码学教程)GTM115《Differential Geometry:Manifolds, Curves, and Surfaces》M.Berger, B.Gostiaux GTM116《Measure and Integral》Volume1 John L.Kelley, T.P.SrinivasanGTM117《Algebraic Groups and Class Fields》Jean-Pierre Serre(代数群和类域)GTM118《Analysis Now》Gert K.Pedersen(现代分析)GTM119《An introduction to Algebraic Topology》Jossph J.Rotman(代数拓扑导论)GTM120《Weakly Differentiable Functions》William P.Ziemer(弱可微函数)GTM121《Cyclotomic Fields》Serge LangGTM122《Theory of Complex Functions》Reinhold RemmertGTM123《Numbers》H.-D.Ebbinghaus, H.Hermes, F.Hirzebruch, M.Koecher, K.Mainzer, J.Neukirch, A.Prestel, R.Remmert(2ed.)GTM124《Modern Geometry-Methods and Applications》(PartⅢ.Introduction to Homology Theory)B.A.Dubrovin, A.T.Fomenko, S.P.Novikov(现代几何学方法和应用)GTM125《Complex Variables:An introduction》Garlos A.Berenstein, Roger Gay GTM126《Linear Algebraic Groups》Armand Borel(线性代数群)GTM127《A Basic Course in Algebraic Topology》William S.Massey(代数拓扑基础教程)GTM128《Partial Differential Equations》Jeffrey RauchGTM129《Representation Theory:A First Course》William Fulton, Joe HarrisGTM130《Tensor Geometry》C.T.J.Dodson, T.Poston(张量几何)GTM131《A First Course in Noncommutative Rings》m(非交换环初级教程)GTM132《Iteration of Rational Functions:Complex Analytic Dynamical Systems》AlanF.Beardon(有理函数的迭代:复解析动力系统)GTM133《Algebraic Geometry:A First Course》Joe Harris(代数几何)GTM134《Coding and Information Theory》Steven RomanGTM135《Advanced Linear Algebra》Steven RomanGTM136《Algebra:An Approach via Module Theory》William A.Adkins, Steven H.WeintraubGTM137《Harmonic Function Theory》Sheldon Axler, Paul Bourdon, Wade Ramey(调和函数理论)GTM138《A Course in Computational Algebraic Number Theory》Henri Cohen(计算代数数论教程)GTM139《Topology and Geometry》Glen E.BredonGTM140《Optima and Equilibria:An Introduction to Nonlinear Analysis》Jean-Pierre AubinGTM141《A Computational Approach to Commutative Algebra》Gröbner Bases, Thomas Becker, Volker Weispfenning, Heinz KredelGTM142《Real and Functional Analysis》Serge Lang(3ed.)GTM143《Measure Theory》J.L.DoobGTM144《Noncommutative Algebra》Benson Farb, R.Keith DennisGTM145《Homology Theory:An Introduction to Algebraic Topology》James W.Vick(同调论:代数拓扑简介)GTM146《Computability:A Mathematical Sketchbook》Douglas S.BridgesGTM147《Algebraic K-Theory and Its Applications》Jonathan Rosenberg(代数K理论及其应用)GTM148《An Introduction to the Theory of Groups》Joseph J.Rotman(群论入门)GTM149《Foundations of Hyperbolic Manifolds》John G.Ratcliffe(双曲流形基础)GTM150《Commutative Algebra with a view toward Algebraic Geometry》David EisenbudGTM151《Advanced Topics in the Arithmetic of Elliptic Curves》Joseph H.Silverman(椭圆曲线的算术高级选题)GTM152《Lectures on Polytopes》Günter M.ZieglerGTM153《Algebraic Topology:A First Course》William Fulton(代数拓扑)GTM154《An introduction to Analysis》Arlen Brown, Carl PearcyGTM155《Quantum Groups》Christian Kassel(量子群)GTM156《Classical Descriptive Set Theory》Alexander S.KechrisGTM157《Integration and Probability》Paul MalliavinGTM158《Field theory》Steven Roman(2ed.)GTM159《Functions of One Complex Variable VolⅡ》John B.ConwayGTM160《Differential and Riemannian Manifolds》Serge Lang(微分流形和黎曼流形)GTM161《Polynomials and Polynomial Inequalities》Peter Borwein, Tamás Erdélyi(多项式和多项式不等式)GTM162《Groups and Representations》J.L.Alperin, Rowen B.Bell(群及其表示)GTM163《Permutation Groups》John D.Dixon, Brian Mortime rGTM164《Additive Number Theory:The Classical Bases》Melvyn B.NathansonGTM165《Additive Number Theory:Inverse Problems and the Geometry of Sumsets》Melvyn B.NathansonGTM166《Differential Geometry:Cartan's Generalization of Klein's Erlangen Program》R.W.SharpeGTM167《Field and Galois Theory》Patrick MorandiGTM168《Combinatorial Convexity and Algebraic Geometry》Günter Ewald(组合凸面体和代数几何)GTM169《Matrix Analysis》Rajendra BhatiaGTM170《Sheaf Theory》Glen E.Bredon(2ed.)GTM171《Riemannian Geometry》Peter Petersen(黎曼几何)GTM172《Classical Topics in Complex Function Theory》Reinhold RemmertGTM173《Graph Theory》Reinhard Diestel(图论)(3ed.)GTM174《Foundations of Real and Abstract Analysis》Douglas S.Bridges(实分析和抽象分析基础)GTM175《An Introduction to Knot Theory》W.B.Raymond LickorishGTM176《Riemannian Manifolds:An Introduction to Curvature》John M.LeeGTM177《Analytic Number Theory》Donald J.Newman(解析数论)GTM178《Nonsmooth Analysis and Control Theory》F.H.clarke, Yu.S.Ledyaev, R.J.Stern, P.R.Wolenski(非光滑分析和控制论)GTM179《Banach Algebra Techniques in Operator Theory》Ronald G.Douglas(2ed.)GTM180《A Course on Borel Sets》S.M.Srivastava(Borel 集教程)GTM181《Numerical Analysis》Rainer KressGTM182《Ordinary Differential Equations》Wolfgang WalterGTM183《An introduction to Banach Spaces》Robert E.MegginsonGTM184《Modern Graph Theory》Béla Bollobás(现代图论)GTM185《Using Algebraic Geomety》David A.Cox, John Little, Donal O’Shea(应用代数几何)GTM186《Fourier Analysis on Number Fields》Dinakar Ramakrishnan, Robert J.Valenza GTM187《Moduli of Curves》Joe Harris, Ian Morrison(曲线模)GTM188《Lectures on the Hyperreals:An Introduction to Nonstandard Analysis》Robert GoldblattGTM189《Lectures on Modules and Rings》m(模和环讲义)GTM190《Problems in Algebraic Number Theory》M.Ram Murty, Jody Esmonde(代数数论中的问题)GTM191《Fundamentals of Differential Geometry》Serge Lang(微分几何基础)GTM192《Elements of Functional Analysis》Francis Hirsch, Gilles LacombeGTM193《Advanced Topics in Computational Number Theory》Henri CohenGTM194《One-Parameter Semigroups for Linear Evolution Equations》Klaus-Jochen Engel, Rainer Nagel(线性发展方程的单参数半群)GTM195《Elementary Methods in Number Theory》Melvyn B.Nathanson(数论中的基本方法)GTM196《Basic Homological Algebra》M.Scott OsborneGTM197《The Geometry of Schemes》David Eisenbud, Joe HarrisGTM198《A Course in p-adic Analysis》Alain M.RobertGTM199《Theory of Bergman Spaces》Hakan Hedenmalm, Boris Korenblum, Kehe Zhu(Bergman空间理论)GTM200《An Introduction to Riemann-Finsler Geometry》D.Bao, S.-S.Chern, Z.Shen GTM201《Diophantine Geometry An Introduction》Marc Hindry, Joseph H.Silverman GTM202《Introduction to Topological Manifolds》John M.LeeGTM203《The Symmetric Group》Bruce E.SaganGTM204《Galois Theory》Jean-Pierre EscofierGTM205《Rational Homotopy Theory》Yves Félix, Stephen Halperin, Jean-Claude Thomas(有理同伦论)GTM206《Problems in Analytic Number Theory》M.Ram MurtyGTM207《Algebraic Graph Theory》Chris Godsil, Gordon Royle(代数图论)GTM208《Analysis for Applied Mathematics》Ward CheneyGTM209《A Short Course on Spectral Theory》William Arveson(谱理论简明教程)GTM210《Number Theory in Function Fields》Michael RosenGTM211《Algebra》Serge Lang(代数)GTM212《Lectures on Discrete Geometry》Jiri Matousek(离散几何讲义)GTM213《From Holomorphic Functions to Complex Manifolds》Klaus Fritzsche, Hans Grauert(从正则函数到复流形)GTM214《Partial Differential Equations》Jüergen Jost(偏微分方程)GTM215《Algebraic Functions and Projective Curves》David M.Goldschmidt(代数函数和投影曲线)GTM216《Matrices:Theory and Applications》Denis Serre(矩阵:理论及应用)GTM217《Model Theory An Introduction》David Marker(模型论引论)GTM218《Introduction to Smooth Manifolds》John M.Lee(光滑流形引论)GTM219《The Arithmetic of Hyperbolic 3-Manifolds》Colin Maclachlan, Alan W.Reid GTM220《Smooth Manifolds and Observables》Jet Nestruev(光滑流形和直观)GTM221《Convex Polytopes》Branko GrüenbaumGTM222《Lie Groups, Lie Algebras, and Representations》Brian C.Hall(李群、李代数和表示)GTM223《Fourier Analysis and its Applications》Anders Vretblad(傅立叶分析及其应用)GTM224《Metric Structures in Differential Geometry》Gerard Walschap(微分几何中的度量结构)GTM225《Lie Groups》Daniel Bump(李群)GTM226《Spaces of Holomorphic Functions in the Unit Ball》Kehe Zhu(单位球内的全纯函数空间)GTM227《Combinatorial Commutative Algebra》Ezra Miller, Bernd Sturmfels(组合交换代数)GTM228《A First Course in Modular Forms》Fred Diamond, Jerry Shurman(模形式初级教程)GTM229《The Geometry of Syzygies》David Eisenbud(合冲几何)GTM230《An Introduction to Markov Processes》Daniel W.Stroock(马尔可夫过程引论)GTM231《Combinatorics of Coxeter Groups》Anders Bjröner, Francesco Brenti(Coxeter 群的组合学)GTM232《An Introduction to Number Theory》Graham Everest, Thomas Ward(数论入门)GTM233《Topics in Banach Space Theory》Fenando Albiac, Nigel J.Kalton(Banach空间理论选题)GTM234《Analysis and Probability:Wavelets, Signals, Fractals》Palle E.T.Jorgensen(分析与概率)GTM235《Compact Lie Groups》Mark R.Sepanski(紧致李群)GTM236《Bounded Analytic Functions》John B.Garnett(有界解析函数)GTM237《An Introduction to Operators on the Hardy-Hilbert Space》Rubén A.Martínez-Avendano, Peter Rosenthal(哈代-希尔伯特空间算子引论)GTM238《A Course in Enumeration》Martin Aigner(枚举教程)GTM239《Number Theory:VolumeⅠTools and Diophantine Equations》Henri Cohen GTM240《Number Theory:VolumeⅡAnalytic and Modern Tools》Henri Cohen GTM241《The Arithmetic of Dynamical Systems》Joseph H.SilvermanGTM242《Abstract Algebra》Pierre Antoine Grillet(抽象代数)GTM243《Topological Methods in Group Theory》Ross GeogheganGTM244《Graph Theory》J.A.Bondy, U.S.R.MurtyGTM245《Complex Analysis:In the Spirit of Lipman Bers》Jane P.Gilman, Irwin Kra, Rubi E.RodriguezGTM246《A Course in Commutative Banach Algebras》Eberhard KaniuthGTM247《Braid Groups》Christian Kassel, Vladimir TuraevGTM248《Buildings Theory and Applications》Peter Abramenko, Kenneth S.Brown GTM249《Classical Fourier Analysis》Loukas Grafakos(经典傅里叶分析)GTM250《Modern Fourier Analysis》Loukas Grafakos(现代傅里叶分析)GTM251《The Finite Simple Groups》Robert A.WilsonGTM252《Distributions and Operators》Gerd GrubbGTM253《Elementary Functional Analysis》Barbara D.MacCluerGTM254《Algebraic Function Fields and Codes》Henning StichtenothGTM255《Symmetry Representations and Invariants》Roe Goodman, Nolan R.Wallach GTM256《A Course in Commutative Algebra》Kemper GregorGTM257《Deformation Theory》Robin HartshorneGTM258《Foundation of Optimization》Osman GülerGTM259《Ergodic Theory:with a view towards Number Theory》Manfred Einsiedler, Thomas WardGTM260《Monomial Ideals》Jurgen Herzog, Takayuki HibiGTM261《Probability and Stochastics》Erhan CinlarGTM262《Essentials of Integration Theory for Analysis》Daniel W.StroockGTM263《Analysis on Fock Spaces》Kehe ZhuGTM264《Functional Analysis, Calculus of Variations and Optimal Control》Francis ClarkeGTM265《Unbounded Self-adjoint Operatorson Hilbert Space》Konrad Schmüdgen GTM266《Calculus Without Derivatives》Jean-Paul PenotGTM267《Quantum Theory for Mathematicians》Brian C.HallGTM268《Geometric Analysis of the Bergman Kernel and Metric》Steven G.Krantz GTM269《Locally Convex Spaces》M.Scott Osborne。
集成梯度特征归属方法-概述说明以及解释
集成梯度特征归属方法-概述说明以及解释1.引言1.1 概述在概述部分,你可以从以下角度来描述集成梯度特征归属方法的背景和重要性:集成梯度特征归属方法是一种用于分析和解释机器学习模型预测结果的技术。
随着机器学习的快速发展和广泛应用,对于模型的解释性需求也越来越高。
传统的机器学习模型通常被认为是“黑盒子”,即无法解释模型做出预测的原因。
这限制了模型在一些关键应用领域的应用,如金融风险评估、医疗诊断和自动驾驶等。
为了解决这个问题,研究人员提出了各种机器学习模型的解释方法,其中集成梯度特征归属方法是一种非常受关注和有效的技术。
集成梯度特征归属方法能够为机器学习模型的预测结果提供可解释的解释,从而揭示模型对于不同特征的关注程度和影响力。
通过分析模型中每个特征的梯度值,可以确定该特征在预测中扮演的角色和贡献度,从而帮助用户理解模型的决策过程。
这对于模型的评估、优化和改进具有重要意义。
集成梯度特征归属方法的应用广泛,不仅适用于传统的机器学习模型,如决策树、支持向量机和逻辑回归等,也可以应用于深度学习模型,如神经网络和卷积神经网络等。
它能够为各种类型的特征,包括数值型特征和类别型特征,提供有益的信息和解释。
本文将对集成梯度特征归属方法的原理、应用优势和未来发展进行详细阐述,旨在为读者提供全面的了解和使用指南。
在接下来的章节中,我们将首先介绍集成梯度特征归属方法的基本原理和算法,然后探讨应用该方法的优势和实际应用场景。
最后,我们将总结该方法的重要性,并展望未来该方法的发展前景。
1.2文章结构文章结构内容应包括以下内容:文章的结构部分主要是对整篇文章的框架进行概述,指导读者在阅读过程中能够清晰地了解文章的组织结构和内容安排。
第一部分是引言,介绍了整篇文章的背景和意义。
其中,1.1小节概述文章所要讨论的主题,简要介绍了集成梯度特征归属方法的基本概念和应用领域。
1.2小节重点在于介绍文章的结构,将列出本文各个部分的标题和内容概要,方便读者快速了解文章的大致内容。
西方语言学名著选读第3版PPT第十二章 《女人、火、危险事物》选读
• 必要和充分条件来定义mother,这些条件适用于所有的情形并且可以同等地应用于所有
的情形。这样的定义可能大致如此:一个已经生产一个孩子的女人。但是,我们将看到, 没有任何一个这样的定义能够覆盖全部的情形。mother这个概念是基于一个复杂的模型, 由若干个单独的认知模型组合而成,它是一个聚丛模型。这个聚丛模型包含以下多个模 型:———产儿模型:生产孩子的人是mother。产儿模型通常伴随一个遗传模型,尽管卵子 和胚胎移植技术的发展使得两者并不总是重合。———遗传模型:提供遗传物质的女性是 mother。———养育模型:养育和培养一个孩子的女性成人是那个孩子的mother。——— 婚嫁模型:父亲的妻子是mother。———家系模型:最近的女性长辈是mother。mother这 一概念通常涉及一个复杂模型,即由所有上述单独模型组合而成的聚丛模型。一直存在 着与这个模型有偏差的情形,继母就长期以来一直存在。
4
第三章 语言中的典型效应
• 本书的主要主张之一是,语言利用我们的一般认知
器官。如果这个主张是正确的,就能作出以下两点 推论:———语言范畴应与我们概念系统的其他范畴 属于同一类型。具体说,语言范畴也会呈现典型效 应(prototypeeffects)和基本层次效应 (basicleveleffects)。———有关语言范畴性质的证 据有助于一般性地了解一般的认知范畴。因为语言 的范畴结构极其多样,语言学的证据又极其丰富, 语言范畴化的研究就为我们了解一般范畴结构的性 质提供证据,并成为证据的主要来源之一。因此, 我们需要提出这样一个总的问题:有什么证据表明语 言也呈现典型效应和基本层次效应?这个问题意味深 长,因为语言是否利用我们的一般认知器官,这绝 不是没有争议的。
普通高等教育“十一五”国家级规划教材 21世纪中国语言文学系列教材
基于拉普拉斯金字塔分解的多尺度边缘检测_董鸿燕
第34卷第7期 光电工程V ol.34, No.7 2007年7月 Opto-Electronic Engineering July, 2007文章编号:1003-501X(2007)07-0135-06基于拉普拉斯金字塔分解的多尺度边缘检测董鸿燕,王磊,李吉成,沈振康( 国防科技大学 ATR重点实验室,湖南长沙 410073 )摘要:边缘表现为图像中具有奇异性点的集合,利用改进的拉普拉斯金字塔分解捕获这些奇异性点,得到各尺度下的带通图像,通过分析,得出分解后的带通图像在边缘处产生零交叉点,构造统计量帮助提取零交叉点,再通过多尺度边缘融合实现多尺度边缘提取。
与LOG和Canny边缘检测的对比实验表明,所建立的算法能够可靠、有效、精确的获得图像的边缘。
关键词:奇异性;边缘检测;拉普拉斯金字塔;多尺度中图分类号:TN391.4 文献标志码:AMultiscale edge detection based on Laplacian pyramidDONG Hong-yan,WANG Lei,LI Ji-cheng,SHEN Zhen-kang( ATR Laboratory, National University of Defense Technology, Changsha 410073, China ) Abstract:Edge is characterized as the singularity points in the image. Laplacian Pyramid (LP) decomposition was used to capture the point singularities to obtain the multiscale band-pass images. Then it was analyzed that the obtained band-pass images was characterized as zerocrossing at the edges. A zerocrossing detection algorithm assisted by computing a statistic and a multiscale edge synthesizing algorithm were proposed to implement multiscale edge detection. Compared with the edge detectors of LOG (Laplacian of Gaussian) and Canny, the algorithm can detect edges of images more reliably and effectively.Key words:singularity; edge detection; Laplacian pyramid; multiscale引 言图像的边缘定义为周围像素灰度强度不连续的像素点的集合,也就是图像中具有奇异性的像素点的集合。
经济行为与社会结构:嵌入性问题
经济行为与社会结构:嵌入性行为行为和制度如何被社会关系影响是社会理论的经典话题之一。
只要这种关系存在,那么由它们的“在场”所引致的状况就只有通过一种思想实验,就像霍布斯(Tomas Hobbes)的“自然状态”或是罗尔斯(John Rawls)的“原始位置”等来想象了。
在功利主义的传统中大部分观点,包括古典和新古典经济学,都假设理性的、追求个人利益的行为几乎不受社会关系影响,因此追求一种近乎于这些思想实验的理想化状态。
与此相反的则是我所谓的“嵌入性”的主张:这种讨论认为行为和制度总是受到正在运行的社会关系的压抑和控制,因此将它们看作是彼此分离的做法是一种令人痛心的误解。
本文关注经济行为的嵌入性。
长时期以来,社会学家、人类学家、政治家和历史学家的主要观点就是:在前工业化社会,经济行为深深地嵌入于社会关系之中,受各种非经济因素的影响。
但随着现代化的发展,经济行为变得越来越自主。
这种观点将经济视为工业社会中一个独立的、与其他领域曰渐分离的领域,经济交换行为不再以交易的社会和亲缘义务来定义,而是以个人利益的理性计算来定义。
有时进一步的讨论甚至认为,现代情况与传统的情况是相反的:不是经济生活沉浸在社会关系之中,而是这些关系变成了市场的附庸现象。
嵌入性的地位与人类学的“实质主义”学派相关,人们通常将这个学派与卡尔波兰尼的名字联系在一起(1994;波兰尼,艾瑞森伯格和皮尔逊,1957),以及与历史学和政治学中的“道德经济”观念(汤普森1971;斯科特1976)是同一的。
它在某些方面还与马克思主义的观点有着明显的关系。
然而,对于这种伴随现代化而出现的对嵌入性观念的突破,几乎没有经济学家接受。
大部分人坚信早期社会中的嵌入性程度实质上并不比现代社会中所谓的低水平嵌入性更高。
这种基调是亚当•斯密首先设定的,他假定“在人类的本性中存在一种与他人以物易物和互换物品的倾向”,并假设既然劳动是原始社会唯一的生产要素,那么物品就必须依据劳动的成本来交换,就像在一般的经典交换理论中那样([1776],1979,第一卷,第二章)。
代理模型有关的书 -回复
代理模型有关的书-回复
代理模型是一种在机器学习中常用的策略,它通过训练一个模型来预测或模仿另一个模型的行为。
以下是一些与代理模型相关的书籍:
1. 《强化学习》:这本书由Richard S. Sutton和Andrew G. Barto合著,是强化学习领域的经典之作。
书中详细介绍了强化学习的基本概念、算法和应用,并包含了一些关于代理模型的内容。
2. 《Deep Reinforcement Learning》:这本书由Maxim Lapan编写,详细介绍了深度强化学习的基础知识和最新进展。
其中,代理模型是一个重要的主题,书中提供了许多有关它的实践例子。
3. 《Reinforcement Learning: An Introduction》:这本书由Richard S. Sutton和Andrew G. Barto合著,是一本关于强化学习的入门教材。
书中介绍了强化学习的基本概念、算法和应用,并包含了一些关于代理模型的内容。
4. 《Model-Based Reinforcement Learning》:这本书由Nikolay Karmakhin编写,专门讨论了基于模型的强化学习方法。
其中,代理模型是一个重要的主题,书中详细介绍了如何使用代理模型来进行决策和控制。
这些书都包含了丰富的理论知识和实践经验,可以帮助读者深入理解代理
模型的概念和应用。
大数据理论考试(习题卷12)
大数据理论考试(习题卷12)说明:答案和解析在试卷最后第1部分:单项选择题,共64题,每题只有一个正确答案,多选或少选均不得分。
1.[单选题]()试图学得一个属性的线性组合来进行预测的函数。
A)决策树B)贝叶斯分类器C)神经网络D)线性模2.[单选题]随机试验所有可能出现的结果,称为()A)基本事件B)样本C)全部事件D)样本空间3.[单选题]DWS实例中,下列哪项不是主备配置的:A)CMSB)GTMC)OMSD)coordinato4.[单选题]数据科学家可能会同时使用多个算法(模型)进行预测,并且最后把这些算法的结果集成起来进行最后的预测(集成学习),以下对集成学习说法正确的是()。
A)单个模型之间具有高相关性B)单个模型之间具有低相关性C)在集成学习中使用“平均权重”而不是“投票”会比较好D)单个模型都是用的一个算法5.[单选题]下面算法属于局部处理的是()。
A)灰度线性变换B)二值化C)傅里叶变换D)中值滤6.[单选题]中文同义词替换时,常用到Word2Vec,以下说法错误的是()。
A)Word2Vec基于概率统计B)Word2Vec结果符合当前预料环境C)Word2Vec得到的都是语义上的同义词D)Word2Vec受限于训练语料的数量和质7.[单选题]一位母亲记录了儿子3~9岁的身高,由此建立的身高与年龄的回归直线方程为y=7.19x+73.93,据此可以预测这个孩子10岁时的身高,则正确的叙述是()。
A)身高一定是145.83cmB)身高一定超过146.00cmC)身高一定高于145.00cmD)身高在145.83cm左右8.[单选题]有关数据仓库的开发特点,不正确的描述是()。
A)数据仓库开发要从数据出发;B)数据仓库使用的需求在开发出去就要明确;C)数据仓库的开发是一个不断循环的过程,是启发式的开发;D)在数据仓库环境中,并不存在操作型环境中所固定的和较确切的处理流,数据仓库中数据分析和处理更灵活,且没有固定的模式9.[单选题]由于不同类别的关键词对排序的贡献不同,检索算法一般把查询关键词分为几类,以下哪一类不属于此关键词类型的是()。
组织结构变革中的路径依赖与路径创造机制研究——以联想集团为例
组织结构变革中的路径依赖与路径创造机制研究——以联想集团为例李海东;林志扬【摘要】Due to the strong tendency of historical determinism, the classical path dependence theory can not explain the significant technical and institutional change and the generation of a new path. These issues promote the researchers to switch the research perspective and pay more attention to the path creation and path breaking. Strategic action has a attribute of path dependence, and according to the contention that strategy determines structure and structure follows strategy, the article illustrates that path dependence is embedded in organizational structure system. From the perspective of the organizational structure model evolution! the mechanism of path dependence formation and path creation is discussed. At the same time, the dual impact of path dependence and path creation in organizational structure change on organizational operation is also discussed. Finally, the article takes Lenovo Group of China modern IT industry as an example to illustrates path dependence and path creation in the evolution process of Lenovo Group's organizational structure model.%经典的路径依赖理论因具有较强的历史决定论倾向,因而无法解释重大的技术和制度变革以及新路径的产生,这些问题推动着研究者将研究视角转向了路径创造和路径突破.战略行为具有路径依赖的特征,根据“战略决定结构、结构跟随战略”的思想,组织结构系统内生地蕴含着路径依赖特性.从组织结构模式演进的角度对组织中的路径依赖形成机制和路径创造机制进行研究,并讨论了组织结构变革中的路径依赖和路径创造对组织运行的双重影响.以联想集团为例,探讨了联想集团组织结构模式选择演化历程中的路径依赖和路径创造.【期刊名称】《管理学报》【年(卷),期】2012(009)008【总页数】12页(P1135-1146)【关键词】路径依赖;组织结构变革;路径创造;自我增强机制;联想集团【作者】李海东;林志扬【作者单位】景德镇陶瓷学院工商管理学院;厦门大学管理学院【正文语种】中文【中图分类】C93组织作为一个开放性系统,不断地与外部环境进行物质、能量和信息的交换。
Complexity Theory, Market Dynamism, and the Strategy of Simple Rules
Complexity Theory, Market Dynamism, and the Strategy of Simple RulesJASON P. DAVISDepartment of Management Science and EngineeringStanford University423 Terman EngineeringStanford, CA 94305(650) 498-1741jpdavis@KATHLEEN M. EISENHARDTDepartment of Management Science and EngineeringStanford University415 Terman EngineeringStanford, CA 94305(650) 723-1887kme@CHRISTOPHER B. BINGHAMRobert H. Smith School of BusinessUniversity of Maryland4519 Van Munching HallCollege Park, MD 20742(301) 405-3422cbingham@Working PaperApril 12, 2007We appreciate the generous support of the National Science Foundation (IOC Award #0323176) and the Stanford Technology Ventures Program. We also thank many individuals for their helpful comments including Phil Anderson, Steve Barley, Diane Burton, Tim Carroll, Pankaj Ghemawat, Clark Gilbert, Riitta Katila, Bruce Kogut, Tammy Madsen, Anne Miner, Woody Powell, Nelson Repenning, Jan Rivkin, Simon Rodan, Lori Rosenkopf, Nicolaj Siggelkow, Wesley Sine, Bob Sutton, Brian Uzzi, Christoph Zott; participants at the Academy of Management Conference, Atlanta Competitive Advantage Conference, West Coast Technology Entrepreneurship Research Conference, Winter Strategy Conference; and seminar participants at Stanford University, INSEAD, and the Harvard Business School. Also, the paper benefited greatly from the comments of Elaine Romanelli and three anonymous reviewers.Complexity Theory, Market Dynamism, and the Strategy of Simple RulesABSTRACTThis study explores the fundamental tension between too little and too much structure. Observed in multiple streams of research, this tension is associated with the tradeoff between efficiency and flexibility that is central in dynamic markets. Using the strengths of simulation to confirm internal validity and to elaborate theory through virtual experiments, we examine the relationship between the amount of structure and performance in dynamic environments. We have several findings. First, we confirm that an inverted U-shaped relationship exists between performance and the amount of structure. Yet, this relationship is unexpectedly asymmetric – i.e., it is better to err on the side of too much than too little structure. Second, we describe how market dynamism moderates the relationship between structure and performance. In particular, increasing unpredictability is associated with a less structured optimum. Moreover, when environments are very unpredictable, there is a very narrow range of optimal structure and a precarious “edge of chaos.” But when environments are very predictable, there is a broad range of optimal structures and equifinality. Third, other environmental dimensions have their own unique effects – i.e., increasing velocity raises performance while increasing complexity lowers it. Surprisingly, increasing ambiguity diminishes the value of skill. Broadly, we contribute to strategy by confirming the internal validity of strategy as simple rules, and clarify the boundary conditions of positioning and opportunity strategic logics. We contribute to organizational theory by providing an optimistic view of adaptation with clarity regarding its challenges for new v. established firms. Overall, we sketch an emerging theory for how organizations adapt that builds on the insights of complexity science.A longstanding question in strategy and organizational theory is how the amount of organizational structure shapes performance in dynamic environments. Research exploring this question often highlights a fundamental tension between possessing too little and too much structure (Burns and Stalker, 1961; Henderson and Clark, 1990; Uzzi, 1997). Organizations using too little structure lack enough guidance to efficiently generate appropriate behaviors (Weick, 1993; Sine, Mitsuhashi, and Kirsch, 2005), while organizations using too much structure are too constrained and lack flexibility (Miller and Friesen, 1980; Siggelkow, 2001). This fundamental tension results in a dilemma for organizations competing in dynamic environments as success in these settings demands both efficiency and flexibility. Studies show that high performing organizations resolve this tension by using a moderate amount of structure to improvise a variety of innovative solutions (Brown and Eisenhardt, 1997). Overall, this is suggestive of an inverted U-shaped relationship between the amount of structure and performance, a relationship often observed when tensions are at work.This tension is observed in diverse streams of research. For example, Weick’s (1976) loose coupling ideas focus on the benefits of moderate intra-organizational connectivity. Loosely coupled units are connected enough to gain efficiencies from coordination, but also have enough separateness to flexibly act with independence (Orton and Weick, 1990; Schilling and Steensma, 2001). Empirical studies confirm the link between moderate connectivity among parts of an organization and performance (Galunic and Eisenhardt, 1996; Galunic and Eisenhardt, 2001; Gilbert, 2005). For example, in his study of U.S. restaurant chains, Bradach (1997) observes that chains face a tension between efficient uniformity and flexible adaptation. High-performing chains resolve this tension with a mix of tightly linked company stores and loosely linked franchises that are more high-performing than a structure comprised of either type alone. Similarly, in a study of multi-business firms in Taiwan, Chi-Nien and colleagues (2005) found that the most successful groups are those with semi-linked operating and director relationships that permit shared access to resources among affiliates.This tension is also observed in research that emphasizes the benefits of moderate amounts of external connectivity (Hargadon and Sutton, 1997; Owen-Smith and Powell, 2003). For example, in his study of garment firm alliance networks, Uzzi (1997) finds that organizations which combined more and less structured partnerships are more effective performers. These semi-structured alliance networks help firms enjoy both efficient exchanges with close partners and flexible access to wide-ranging information sources with arms-length partners. Other research finds that “leaky” networks of varied institutions within the Boston-area biotechnology community produce spillovers leading to greater innovation (Owen-Smith and Powell, 2003) while a moderate amount of interaction between publicly-owned and privately-owned Hungarian enterprises improves adaptation to changes in the Eastern European marketplace (Stark, 1996).The tension between too little and too much structure is also observed in research on improvisation, which is concerned with how partial structure guides behavior in real-time (Weick, 1998; Miner, Bassoff, and Moorman, 2001; Feldman and Pentland, 2003). This research points to simple rule strategies that act as the ‘guiding melody’ within which improvisation occurs. As Weick (1998) notes, “The important point is that improvisation does not materialize out of thin air. Instead, it materializes around a simple melody that provides the pretext for real time composing” (p. 546). Miner and colleagues (2001) further clarify that improvisation is the deliberate “fusion of design and execution” that occurs within a context of improvisational referents that “provides a constraint within which novel activity unfolds” (p. 314-316). Brown and Eisenhardt (1997) also find that too many rules constrain the improvisation of innovative solutions in product development processes, but too few rules engender too much chaos to be effective. Rather, a moderate number of rules possesses the “semi-structure” necessary for effective improvisation, and ultimately successful new product portfolios.This tension is particularly pertinent for strategy in dynamic markets where change is not only common, but also critical for performance (Teece, Pisano, and Shuen, 1997). For instance, Mintzbergand McHugh (1985) note how a balance between more structured “deliberate strategy” and less structured “emergent strategy” enables innovative and yet coherent performance in turbulent eras. Similarly, Rindova and Kotha (2001) find that the ability of Yahoo! to grow within a dynamic environment is partially due to its simple, rule-based capabilities for guiding acquisitions, alliances, and the introduction of new services. Indeed, “loosely coupled” structures and “simple rules” capabilities are observed among high-performing firms in a variety of dynamic industries (Burgelman, 1996; Galunic and Eisenhardt, 1996; Galunic and Eisenhardt, 2001; Katila and Ahuja, 2002; Williams and Mitchell, 2004; Gilbert, 2005) which is consistent with Eisenhardt and Martin’s (2000) hypothesis that as markets become increasingly dynamic, effective strategies are more simple. Taken together, these studies indicate that the inverted U-shaped relationship between the amount of structure and firm performance is a robust finding that occurs across multiple literatures i.Yet, despite wide recognition of the tension between too much and too little structure, a number of issues remain. For instance, it is unclear whether it is advantageous to err on the side of too little vs. too much structure. That is, does one tendency fail more gradually than the other? Likewise, it is unclear whether there is a wide range of optimal structures, suggesting that balancing between too much and too little structure is easy, or conversely, whether the optimal structure is tightly constrained, indicating significant challenge in finding and maintaining balance. Similarly, while greater environmental dynamism is associated with less structure, it is unclear how this tension is affected by specific attributes of market dynamism such as velocity, ambiguity, and unpredictability. Broadly, we ask: what is the underlying theoretical logic that links the tension between too much and too little structure, environment, and performance?Our purpose is to explore the theoretical logic that underlies the tension between too much and too little structure, the environmental contingencies that influence the balance within this tension, and the effects of too little v. too much structure on the performance of strategies and organizations indynamic markets. There are many definitions of structure with varied attributes such as formalization (e.g., rules, routines), centralization (e.g., hierarchy, use of authority, verticality), control systems (e.g., incentives, span of control), embeddedness (e.g., tie strength, tie density), and specialization (e.g., role clarity) (Weber, 1946; e.g., Burns and Stalker, 1961; Pugh, et al., 1963; Galbraith, 1973; Mintzberg, 1979; Granovetter, 1985; Scott, 2003)ii. But while the definitions include varied attributes, they all share an emphasis on shaping the action of organizational members. Thus, we define structure broadly as constraint on action iii. In particular, we will focus on structure as rules because of their importance in dynamic markets (Brown and Eisenhardt, 1997; Rindova and Kotha, 2001) and their relevance to both the organization (March and Simon, 1958; Cyert and March, 1963) and strategy (Nelson and Winter, 1982; Teece, Pisano, and Shuen, 1997) literatures.We conduct this research using simulation methods. We chose simulation because it is a particularly effective method for research such as ours where the basic outline of the theory is understood, but its underlying theoretical logic is limited (Davis, Bingham, and Eisenhardt, 2007). In this situation, there is enough theory to develop a simulation model. Yet, the theory is also sufficiently incomplete that it warrants examination of its internal validity (i.e., correctness of its theoretical logic) and elaboration of its propositions through experimentation, both strengths of simulation (Sastry, 1997; Zott, 2003). Simulation is also a particularly useful method for research such as ours when the focal phenomenon is non-linear (Carroll and Burton, 2000; Rudolph and Repenning, 2002; Lennox, Rockart, and Lewin, 2006). While statistical and inductive methods may indicate the presence of non-linearities, they offer less precise identification, particularly of complicated ones such as tipping points. Simulation is also a particularly useful method when empirical data are challenging to obtain (Davis, Bingham, and Eisenhardt, 2007). For example, simulation enables us to unpack distinct environmental dimensions that are difficult to disentangle in actual environments. Finally, simulation is especially effective for research such as ours that involves longitudinal and process phenomena because such phenomena canbe studied over extended time periods that would be difficult to observe with empirical data (March, 1991; Zott, 2003).We have several key results. First, while we confirm an inverted U-shaped relationship between structure and performance, we find that this relationship is unexpectedly asymmetric. That is, too little structure leads to a catastrophic performance decline while too much structure leads to only a gradual decay. Thus, it is better to err on the side of too much structure. Second, we point to unpredictability as the key dimension of market dynamism underlying the tension between too much and too little structure. Moreover, the range of optimal structures intriguingly varies inversely with unpredictability. For example, in unpredictable environments, there is only a very narrow range of optimal structures with catastrophic drops on either side that are likely to be difficult to manage. Finally, other dimensions of market dynamism (i.e. velocity, complexity, and ambiguity) unexpectedly have their own unique effects on performance. Collectively, our contributions are to validate the theoretical logic that underlies the tension between too much and too little structure, reveal its asymmetry and varying robustness (e.g., equifinality at low unpredictability, edge of chaos at high unpredictability), and highlight the unexpected and contingent effects of alternate environments.Broadly, we contribute to an adaptive view of organizations. While much theory focuses on inertia and path dependence, we point to the interplay of moderate structure with improvised action to capture fleeting opportunities as central to adaptation. We also uncover insights into the structural basis of the well-known liabilities of newness and age, and into how best to strategize in specific types of environments. Most significant, we highlight the relevance of complexity theory reasoning in explaining adaptation in the context of the tradeoff between flexibility and efficiency in dynamic environments.BACKGROUND: UNEXPECTED COMMONALITY OF INVERTED U-SHAPED CURVES To better understand the fundamental tension between too little and too much structure, we analyzedresearch that focused on the influence of structure on performance. In reading this research, we were struck by the commonality of a basic phenomenon across distinct literatures including organization studies, network sociology, and strategy. Although each literature sometimes operationalizes structure in a slightly different way (e.g., roles, rules, linkages, connections, hierarchy) each literature provides evidence of an inverted U-shaped relationship between the amount of structure and performance. Organization StudiesThe fundamental tension between too much and too little structure emerges in several areas of organizational studies including creativity (Amabile, 1996), group problem solving (Carroll and Burton, 2000; Bigley and Roberts, 2001; Okhuysen and Eisenhardt, 2002), venture formation (Sine, Mitsuhashi, and Kirsch, 2005), organizational transformation (Galunic and Eisenhardt, 2001; Rivkin and Siggelkow, 2003), and organizational learning (Bradach, 1997; Tripsas, 1997; Hansen, 1999). Research on Weick’s (1976) concept of loose coupling illustrates. Loose coupling refers to moderate structuring such that elements of a system are partially connected with each other, but also maintain some degree of uniqueness or logical separateness. For example, if a structure is designed so that the behaviors of a leader only sometimes affect the activities of subordinates, then it can be described as loosely coupled (Orton and Weick, 1990). Loose coupling is high-performing in dynamic environments because it allows organizations to gain efficiency through greater coordination and coherence, but also be flexible to environmental change. For example, loosely coupled business units in large firms can isolate themselves from the daily actions of corporate executives and other business units (Cameron, Kim, and Whetten, 1987; Krackhardt, 1992; Tushman and O'Reilly, 1996), and so flexibly adjust to their environments (Chandler, 1962; Tripsas, 1997; Galunic and Eisenhardt, 2001; Gilbert, 2005). But business units are still partially constrained by connections that tie them to the organization’s core mission, lines of authority, and identity (Orton and Weick, 1990) and enable coordination. Overall, research supports the link between loose coupling and performance in dynamic environments(Tushman and O'Reilly, 1996; Bradach, 1997; Tripsas, 1997; Brown and Eisenhardt, 1998).Research on improvisation also illustrates how structure influences performance (Weick, 1993; Eisenhardt and Tabrizi, 1995; Hatch, 1998; Miner, Bassoff, and Moorman, 2001). Studies suggest that successful improvisation builds on prior experience (Moorman and Miner, 1998). Some experience becomes embedded in simple rules or routines that constrain action by acting as a “guiding melody” within which appropriate action can occur in real time (Weick, 1998: 546). For example, Miner and colleagues (2001) find that successful improvisation of novel product opportunities depends critically on having some, but not too much structure beyond the medium and materials that exist in the moment.The role of structure in organizing effective improvisation is hauntingly illustrated by Weick’s (1993) reanalysis of the Mann-Gulch disaster. As he recounts, the firefighters who parachuted into Mann-Gulch expected to contain a small fire, yet nothing in their past experience seemed helpful in dealing with the large, quickly moving fire they encountered (Weick, 1993). Faced with an unexpected situation, most of the firefighters became separated and confused until panic overtook them, and they perished by attempting to outrun it. If the account were to end here, then the Mann-Gulch disaster would simply be a failure of inadequate prior experience.What makes the story poignant is that their leader, Dodge, retained some structure, improvised, and survived. As Weick (1993) explains, Dodge recognized that the fire was consuming fast-burning brush and could not be outrun. He quickly produced a smaller backfire to consume the surrounding fuel source so that he and his group could escape the larger flames. Yet in spite of Dodge’s efforts, the other firefighters abandoned the structure that they had (e.g., fire safety rules, specialized roles, and authority relations), and ignored Dodge’s plea to lie down in the area the backfire had burned. The result was a failure to utilize the best knowledge of the group to meet their collective goals. In essence, they stopped being an organization.Another key theme within organization studies is that the optimal amount of structure iscontingent upon environmental dynamism (Lawrence and Lorsch, 1967; Galbraith, 1973). The underlying logic is that the flexibility enabled by less structure becomes more important than efficiency as markets become more turbulent. For example, Burns and Stalker (1961) find that more structured “mechanistic organization” (e.g., high centralization, formalization, and role specialization with narrow spans of control and extensive verticality) is high performing in very stable markets because it enables efficient action. In contrast, less structured “organic organization” (e.g., decentralized decision making, broader and more fluid roles, wider span of control, and less reliance on highly formalized processes) is high performing in dynamic markets where flexibility is more valuable. More recently, Eisenhardt and Tabrizi (1995) find that that more structure (e.g., planning, well-defined process steps, specialization) is faster and more effective for innovation processes in the stable mainframe computing industry whereas less structure (e.g., little planning, horizontal communication, extensive prototyping, improvised action) is better in the dynamic personal computing industry. Pisano (1994) has similar findings for the pharmaceutical and biotech industries (less and more dynamic industries, respectively).Taken together, this research finds that, in dynamic environments where adaptation is crucial to performance, it is effective to increase the amount of structure when there is little or even none (Okhuysen and Eisenhardt, 2002; Sine, Mitsuhashi, and Kirsch, 2005) to engender efficiency and to decrease the amount of structure when it is extensive (Siggelkow, 2001) to engender flexibility. Overall, the best solution is to strike a balance between these extremes with an environmentally appropriate moderate amount of structure. This moderate structure engenders high performance outcomes such as innovation, survival, knowledge transfer, and growth (e.g., Bradach, 1997; Brown and Eisenhardt, 1997; e.g., Hansen, 1999; Miner, Bassoff, and Moorman, 2001; Gibson and Birkinshaw, 2004) by constraining action to promote efficiency while retaining flexibility to adjust to environmental change.ivSociologyNetworkNetwork sociology also considers the relationship between structure (often conceptualized in terms of connectivity or embeddedness - i.e., strength of individual ties, and density [or number] of direct and indirect ties) and performance (Granovetter, 1973; Uzzi, 1996; Gulati, 1998). This research focuses on how networks of inter-organizational relationships create unique constraints andopportunities that in turn profoundly shape performance in organizational fields (Galaskiewicz, 1985;Powell, 1990; Fligstein, 2001). One prominent stream of research examines the impact of a moderately connected egocentric network on focal actor performance (e.g., Burt, 1992; Krackhardt, 1992). Uzzi’s (1997) study of garment firms illustrates. In his ethnographic study, he distinguishes between less structured “arms-length” and more structured “embedded” ties (Uzzi, 1997). Embedded ties are strong relationships, offering trust, fine-grained information, and joint problem solving that enhance efficiency by speeding exchange and improving coordination. But organizations can become over-embedded and, thus, too constrained by existing relationships that are locked in by inertia and social obligation. As, Uzzi (1997: 59) notes, “The optimal network structure to link to is a mix of arm’s length and embedded ties…Embedded ties enrich the network, while arm’s length ties prevent the complete insulation of the network from market demands and new possibilities.”Another stream of research illustrates how networks with moderate connectivity generate better system-level performance than either disconnected or overly connected ones. For example, Owen-Smith and Powell (2003) find that members in a loosely connected, biotechnology network enjoy the benefits of information spillovers that “leak” into the field and increase innovation within the network.In work on Broadway musical networks, Uzzi and Spiro (2005) find an inverted U-shaped relationship between the connectivity of musical teams, and the artistic and financial performance of the industry.They suggest that networks with a moderate amount of connectivity are high-performing because they neither under nor over constrain action – i.e., moderately connected networks bring together artists whohave never worked together and so enhance flexibility by creating novelty. But they also create enough stability to engender trust and reciprocity that are central for rapid cooperation, knowledge sharing, and honing a consistent style, all of which improve efficient artistic production (Uzzi and Spiro, 2005).Similar to organization studies, some network research indicates an environmental contingency such that the optimal structure decreases within increasing market dynamism. As in organization studies, the logic is that flexibility becomes more valuable than efficiency as market dynamism increases because of the more pressing need to adjust to environmental change. For example, Rowley and colleagues (2000) examine the network structure (e.g., strength of direct ties and density of ties within the network) of firms in the more stable steel industry and the more dynamic semiconductor industry. As expected, high-performing steel firms have denser networks of strong ties that favor efficient exchange than low performers, while high-performing semiconductor firms have more weak ties that enable greater flexibility (Rowley, Behrens, and Krackhardt, 2000).Finally, recent theoretical research focuses on small world networks (i.e., moderately connected networks with some densely connected nodes, but with most nodes having only a few clustered ties). Computational studies find that small world networks are easily searchable for information (and thus flexible), and yet also efficient for rich communication (Albert, Jeong, and Barabasi, 2000; Watts, Dodds, and Newman, 2002). In addition, small worlds are also highly tolerant of mistakes (a topic also addressed in the improvisation literature (Hatch, 1998; Miner, Bassoff, and Moorman, 2001)) because of built-in redundant connections. Together, these high-performance properties may indicate why small-worlds are a naturally occurring network type that appears with surprisingly high frequency (Barabasi, 2003). Overall, research in network sociology illustrates that moderately connected networks constrain action but are not overly inflexible, and so produce superior outcomes for both organizations and networks.Competitive StrategyStudies of competitive strategy are also concerned with the effects of structure on performance. Some research finds the importance of maintaining an optimal balance between “deliberate strategy” that is top-down, tightly coordinated, and so more constraining, and “emergent strategy” that is spontaneous, bottom-up, and so less constraining (Mintzberg and Waters, 1982; Mintzberg and McHugh, 1985; Burgelman, 1994). Other research builds on March’s (1991) exploitation v. exploration framing of structure’s effects on performance in which he argues that the “proper balance between exploration and exploitation is a primary factor in system survival and prosperity” (p. 71). For instance, some research finds an optimal tension between the efficient exploitation of old resources that are tightly structured within the firm and the flexible exploration of new and distant resources that are outside the firm is critical in the creation of new products and businesses (Karim and Mitchell, 2000; Katila and Ahuja, 2002). Other research finds the importance of loose connections among business units and product-market charters for successful diversification in large firms (Galunic and Eisenhardt, 1996; Galunic and Eisenhardt, 2001; Williams and Mitchell, 2004; Gilbert, 2005; Karim, 2006). Related research finds an optimal balancing between the more structured connections of vertical integration and the less structured connections of outsourcing for superior performance in multiple industries (Schilling and Steensma, 2001; Rothaermel, Hitt, and Jobe, 2006). As Rothaermael and colleagues (2006) explain, vertical integration enhances the efficient synthesis of tacit knowledge and complementary assets that exist within the firm while outsourcing enhances flexible access to innovations and knowledge outside the firm.Of particular interest to our study is research linking simple rules within moderately structured capabilities to high performance (Gersick, 1994; Burgelman, 1996; Galunic and Eisenhardt, 2001; Rindova and Kotha, 2001). For example, Brown and Eisenhardt (1997) find that, although computer firms use widely varying amounts of structure in their innovation processes, firms with moderate。
DISC
DISC 行为理论分析技术前言DISC 不是招聘选拔的阿司匹林,也不是团队发展或者领导力提升的仙丹灵药。
当威廉马斯顿教授在上世纪二十年代他的著作“The Emotions of Normal People”中正式提出DISC 理论的时候,他无非是希望创建一个能够运用于正常人情绪测量的心理测评技术(或工具)。
经过约八十年的发展,DISC 理论经过了无数次的洗涤,尤其是在计算机技术诞生以后,DISC 更是取得了商业上巨大成功。
在全世界有约数十家机构专业研究DISC,并基于DISC 进行完全商业化的运作。
DISC 的商业运用包括招聘测评、团队发展、领导力提升、生涯规划、以及心理援助。
威廉马斯顿教授早已在其著作中公开了其DISC 测评的机理与心理学层面的背景,但是一旦被赋予了商业化的色彩,DISC 就被人为地加上了“神秘”的面具。
正因为信息的不对称性,使得DISC 始终被少数人“占为己用”,过分夸大其效用,希望能够依靠这种“神秘性”获得最大的商业收益。
这就好比希望能够尽量攫取发展中国家廉价劳动力的成本优势以及巨大的内需市场,却始终不进行任何技术的转移或本地化。
感谢互联网的力量,使得我们可以和世界更加得接近,任何希望利用信息的不对称性获取巨大商业利润的企图终将被突破并被无情地遗弃。
知识始终是奔放的生命,也只有在奔腾的洪流中,生命才能经历洗涤而涅磐。
一苇®网不企图建立任何的技术壁垒来维持自我的商业利益,一苇®网也不会在传递知识的时候要求回馈或者有所保留。
因为如果没有人可以借助这些知识来催促我们继续努力,我们可能只会停留等待,或者故步自封。
我要感谢我的团队为DISC 行为理论分析技术之顾问手册所付出的心血,这其中包括听棠无可比拟的互联网技术,你超群的能力使得本手册可以达到任何一个你希望到达的互联网角落;还有PURELEMON 的美工与制版,你的付出使得我们每一项新技术的出现,都值得一等再等。
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then G, H are mutualIy placeable. ProoJ We use induction on n. The theorem is straightforward for small n, say n < 5. Now fix G, H on n vertices and assume the theorem true for any smaller number of vertices. It suffices to show G, H are m.p. under the additional hypothesis 1E(G)/ = / E(H)1 = n - 2. For then, given any G1, HI satisfying the theorem’s hypotheses we extend arbitrarily to G, H with n - 2 edges and the bijection u for G, H works also for G1 , HI . By a tree in G or H let us mean an isolated component with t vertices and t - 1 edges, some t. This includes the cases t = I, isolated point, and t = 2, isolated edge. Each t vertex component which is not a tree must have at least t edges. Thus, by an elementary counting argument, G and H must each contain at least two trees. The proof splits into several cases, with case (a) containing the main idea. Case (a): Neither G nor H contain isolated points or edges. In a tree with 23 vertices we may always find an end point a of degree I joined to a vertex /3 of degree >l. Let us use the notation a + fi if vertex a is joined only to vertex /3.
GL
2
FIG. 2.
Case (bl)
Subcase (b2): H has an isolated point, say u E V(H). Pick b E V(H) of maximal degree and c E J!(H) of maximal degree so that c # u, {b, c} $ E(H). Subsubcase (b21): If no such c exists H must be an isolated point a plus a star with center b of degree n - 2. In this case set u(l) = b, u(2) = u rest arbitrary. Continuation of (b2): By elementary counting deg(b) > 2 and, excluding case (b21), deg(c) > 1. We find a placement u* : l’(G) - {l, 2, 3} --+ F’(H) {u, b, c} and extend by u(l) = b, u(2) = c, u(3) = u. Case (c): There are no two point components but there are isolated points. Suppose 1 E V(G) is an isolated point. Pick 2 E V(G) with deg(2) > 2.
296
SAUER
AND
SPENCER
2. THE CASE 1 E(G)1 , 1 E(H)l
<n
- 2
The object of this section is to prove the following.
THEOREM
1. 1f 1,!?(G)l , 1E(H)1 < n - 2, i&en n = 1 V(H)1 = 1 V(G)1 ,
* Supported by ONR NOOOl4-67-A-0204-0063.
295
0095-8956~78/0253~295$02.00~0
Copyright r!3 1978 by Academic Press, Inc. All rights of reproduction in any form reserved.
SUNY at Stony Brook, New York II 790 Communicated by the Editors
Received September 30, 1974
I.
NOTATION
AND
INTROLeabharlann UCTIONWe shall use standard graph theory notation. A graph G consists of a vertex set V(G) and an edge set E(G). All graphs will be assumed to have neither loops nor multiple edges. We say that graphs G and H, containing an equal number of vertices, are mutuaZly placeable (m.p.) if there is a bijection 0 : V(H) + V(G) so that {i,j} E E(H) implies {ui, uj} 6 E(G). We shall call such a u a placement. Equivalently, G and Hare m.p. if there exist edge disjoint copies of G, H as subgraphs of the complete graph on n vertices. ln the succeeding sections, we find the following sufficient conditions for G, H to be m.p.. (1) (2) (3) maximal If 1E(G)/ , 1E(H)1 < n - 2, then G, Hare m.p. If 1J?(G)11 E(H)] x (i), then G, H are m.p. Set a equal the maximal degree of the points of G and /3 equal the degree of the points of H. If 243 < n, then G, Hare m.p.
CT*= CT lCV’3 - {I, 2, 3, 41),
H* = H j(V(H) - {a, b, c, dj).
Then 1,!Y(G*)l < 1 Z?(G)1- 4 = 1 V(G*)l - 2 and 1E(H*)l < 1E(H)] - 4 = 1 V(H*)\ - 2, since in G, the vertices {l, 2, 3,4} are on at least 4 edges, and similarly for H. Hence we find a placement
H
FIG. 1. Case (a).
In G we find in the two trees vertices 1, 2, 3,4 such that 1 -+ 2,3 + 4,2 and 4 have degrees >1 and {2, 3} $ E(G) (since they are in different components). In H we find vertices a, b, c, d, a -+ b, c -+ d, and the analogous properties. Let
We also show these results are best possible, or nearly best possible, in certain senses. We note that G, Hare m.p. iff G contains a copy of H. We use this to show, from condition (3), that if every point of G1 has degree > $, then G1 contains any prescribed H of maximal degree 2. Result (1) solves a conjecture of Milner and Welsh [3] which provided the original motivation for this paper.
JOURNAL
OF COMBINATORIAL
THEORY,
Series
B 25,
295-302
(1978)
Edge Disjoint
Placement
of Graphs
NORBERT SAUER
University of Calgary, Calgary, Canada