最大李雅普诺夫指数.rar

C# 使用EmguCV 拼接图片（用于多张照片合成全景图） ，一个简单的应用程序，选择几张图片，拼接图片，并保存

lagrange插值方法+分段线性插值+三次样条插值+报告，包括c语言及matlab程序

OFDM时空编码和MIMO的结合在瑞丽频率选择性衰落信道中OFDM时空编码和MIMO的结合在瑞丽频率选择性衰落信道中

TIMIT语音库采集了美式语音数据，包含630个人，每人读10句话，一共6300句话。其中都是包含标签的，是语音识别必不可少的数据集。

利用的差分法检测视频中的运动目标，在MatlabR2009a中可以运行。运行结果显示，可以有效地将运动目标检测出来并标记。

自己写的利用RBF神经网络做的短期交通流预测matlab源码

Concepts in Programming Languages by John Mitchell.一本国外经典教材，看了之后对编程语言更加理解。费了很多劲才找到的。Concepts in Programming LanguagesThis textbook for undergraduate and beginning graduate students explains and examines the central concepts used in modern programminglanguages, such as functions, types, memory management, and controlThe book is unique in its comprehensive presentation and comparisonof major object-oriented programming languages. Separate chapters ex-amine the history of objects, Simula and Smalltalk, and the prominentanguages c++ and JavaThe author presents foundational topics, such as lambda calculus anddenotational semantics, in an easy-to-read, informal style, focusing on themain insights provided by these theories. Advanced topics include concurrency and concurrent object-oriented programming. A chapter on logicprogramming illustrates the importance of specialized programming meth-ods for certain kinds of problemsThis book will give the reader a better understanding of the issuesand trade-offs that arise in programming language design and a betterappreciation of the advantages and pitfalls of the programming languagesthey useJohn C. mitchell is Professor of Computer Science at Stanford University,where he has been a popular teacher for more than a decade. Many of hisformer students are successful in research and private industry. He received his ph D. from mit in 1984 and was a member of technical staff atat&T Bell Laboratories before joining the faculty at Stanford. Over thepast twenty years, Mitchell has been a featured speaker at internationalconferences; has led research projects on a variety of topics, includingprogramming language design and analysis, computer security, and applications of mathematical logic to computer science; and has written morethan 100 research articles. His previous textbook, Foundations for Pro-gramming Languages(MIT Press, 1996), covers lambda calculus, typesystems, logic for program verification, and mathematical semantics ofprogramming languages. Professor Mitchell was a member of the programming language subcommittee of the ACM/ieEE Curriculum 2001standardization effort and the 2002 Program Chair of the aCm principlesof programming languages conferenceCONCEPTS NPROGRAMMINGLANGUAGESJohn c. mitchellStanford UniversityCAMBRIDGEUNIVERSITY PRESSPUBLISHED BY THE PRESS SYNDICATE OF THE UNIVERSITY OF CAMBRIDGEThe Pitt Building, Trumpington Street, Cambridge, United KingdomCAMBRIDGE UNIVERSITY PRESSThe Edinburgh Building, Cambridge CB2 2RU, UK40 West 20th Street, New York, NY 10011-4211 USA477 Williamstown Road, Port Melbourne vic 3207, AustraliaRuiz de alarcon 13, 28014 Madrid, spainDock House, The Waterfront, Cape Town 8001, South Africahttp://www.cambridge.orgo Cambridge university press 2004First published in printed format 2002isBN 0-511-03492-X eBook(adobe readerISBN 0-521-78098-5 hardbackContentsPrefacepage IxPart 1 functions and foundations1 Introduction1.1 Programming Languages1.2 Goals1.3 Programming Language History3561.4 Organization: Concepts and Languages2 Computability2. 1 Partial Functions and computability102.2 Chapter SummaryExercises163 Lisp: Functions, Recursion, and Lists3.1 Lisp History183.2 Good Language design203. 3 Brief Language overview223.4 Innovations in the Design of Lisp253.5 Chapter Summary: Contributions of LispExercises404 Fundamentals484.1 Compilers and syntax484.2 Lambda calculus4.3 Denotational semantics4.4 Functional and Imperative Languages4.5 Chapter SummaryExercisesContentsPart 2 Procedures, Types, Memory Management, and Control5 The algol Family and ML5.1 The Algol Family of Programming Languages5.2 The Development of C5.3 The LCF System and ml5.4 The Ml Programming Language1035.5 Chapter summary121Exercises1226 Type Systems and Type Inference1296.1 Types in Programming1296.2 Type Safety and Type Checking1326.3 Type Inference1356.4 Polymorphism and Overloadin1456.5 Type Declarations and Type Equality1516.6 Chapter Summary155Exercises1567 Scope, Functions, and storage Management1627.1 Block-Structured Languages1627.2 In-Line blocks1657.3 Functions and procedures1707.4 Higher-Order functions1827.5 Chapter summary190Exercises1918 Control in Sequential Languages2048.1 Structured control2048.2 Exceptions2078.3 Continuations2188.4 Functions and evaluation order2238.5 Chapter summary227Exercises8Part 3 Modularity, Abstraction, and object-Oriented Programming9 Data Abstraction and Modularity2359.1 Structured Programming2359.2 Language Support for Abstraction2429.3 Modules9.4 Generic Abstractions2599.5 Chapter Summary269Exercises27110 Concepts in Object-Oriented Languages27710.1 Object-Oriented design27710.2 Four Basic concepts in object-Oriented languages278Contents10.3 Program Structure28810.4 Design Patterns29010.5 Chapter summary29210.6 Looking Forward: Simula, SmalltalkC++Java293Exercises29411 History of objects: Simula and smalltalk30011.1 Origin of Objects in Simula30011.2 Objects in Simula30311.3 Subclasses and Subtypes in Simula30811.4 Development of smalltalk31011.5 Smalltalk Language features31211.6 Smalltalk flexibilit31811.7 Relationship between Subtyping andInheritance2211.8 Chapter SummaryExercises32712 objects and Run-Time Efficiency: C++33712.1 Design goals and Constraints33712.2 Overview of c++34012.3 Classes. Inheritance and Virtual functions34612.4 Subtyping35512.5 Multiple inheritance12.6 Chapter summary366Exercises36713 Portability and Safety: Java38413.1 Java language overview38613.2 Java Classes and Inheritance38913.3 Java Types and Subtyping39613.4 Java System architecture40413.5 Security Features41213.6 Java summary417Exercises420Part 4 Concurrency and Logic Programming14 Concurrent and Distributed Programming43114.1 Basic Concepts in Concurrency43314.2 The actor model44114.3 Concurrent ML14.4 Java concurrency45414.5 Chapter Summary466Exercises469Contents15 The Logic Programming Paradigm and Prolog47515. 1 History of logic Programming15.2 Brief Overview of the logic Programming Paradigm4715. 3 Equations solved by Unification as Atomic Actions15.4 Clauses as Parts of procedure declarations48215.5 Prologs Approach to Programming48615.6 Arithmetic in Prolog49215.7 Control, Ambivalent Syntax, and Meta-Variables49615.8 Assessment of Prolog50515.9 Bibliographic remarks50715.10 Chapter Summary507Appendix a Additional Program Examples509A 1 Procedural and Object-Oriented organization509Glossary521Index525

电弧炉控制资料基于S7—300PLC电弧炉控制系统的设计

关于支持向量机里面讲核函数的，介绍了线性核函数、高斯核函数、及多项式核函数等。还介绍了核函数的判定以及Mercer定理1x1121T3212T42.3p(a)L313x2.3.32cT1V2C.223+d更一般地,核数K(x2z)=(xz+)“对应的映射后特征维度为a(求解方法参见http://zhidao.baiducom/question/16706714.html)由于计算的是内积,我们可以想到IR中的余弦相似度,如果ⅹ和z向量夹角越小,那么核函数值越大,反之,越小。因此,核函数值是(x)和(z)的相似度。再看另外一个核函数K(r, z)=expz-z|222这时,如果x和z很相近(x-2‖≈0),那么核函数值为1,如果x和z相差很大(x-2》0),那么核函数值约等于0。由于这个函数类似于高斯分布,因此称为高斯核函数,也叫做径向基函数( Radial basis function简称RBF)。它能够把原始特征映射到无穷维。既然高斯核函数能够比较ⅹ和z的相似度,并映射到0到1,回想 logistic回归, sigmoid函数可以,因此还有sigmoid核函数等等下面有张图说明在低维线性不可分时,映射到高维后就可分了,使用高斯核函数。Linear回回看目即Gaussian来自 Eric Xing的sdes注意,使用核函数后,怎么分类新来的样本呢?线性的时候我们使用SVM学与出W和b,新来样木ⅹ的话,我们使用wTx+ b来判断,如果值大于等于1,那么是正类,小于等于是负类。在两者之间,认为无法确定。如果使用了核函数后,W2x+b就变成了wφ(x)+b,是否先要找到p(x),然后再预测?答案背定不是了,找φ(x很麻烦,回想我们之前说过的wa+6=boy(0)x+bi=1(x(,x)+b只需将替换成(x,x),然后值的判断同上8核函数有效性判定问题:给定一个函数K,我们能否使用K来替代计算φ(x)2中(z),也就说,是否能够找出一个,使得对丁所有的x和z,都有k(x,2)=(x)r中(2)9比如给出了K(x,2)=(x2)2,是否能够认为K是一个有效的核函数下面来解决这个问题,给定m个训练样本全(r(3xm,每一个对应一个特征向量。那么,我们可以将(e) yJ仟意两个和带入K中,计算得到=0。I可以从1到m,j以从1到m,这样可以计算出m*m的核函数矩阵( Kernel Matrix)。为了方便,我们将核函数矩阵和(x,z)都使用K来表示如果假设K是有效地核函数,那么根据核函数定义k1=K(x0x0)=p(x()p(x0)=p(x(0)p(x()=K(x(,x)=K可见,矩阵K应该是个对称阵。让我们得出一个更强的结论,首先使用符号中x(x)来表示映射函数中(x)的第k维属性值。那么对于任意向量z,得2K2=∑∑2K3∑∑(m0y(0)2∑∑∑(z0)(x0)z∑∑∑29(x)k(z0)k i j=S|∑zipk(c(ak0.最后一步和前面计算K(x)=(x2)时类似。从这个公式我们可以看出,如果K是个有效的核函数(即K(xz)和(x)p(2)等价),那么,在训练集上得到的核函数矩阵K应该是半正定的(K≥0这样我们得到一个核函数的必要条件:K是有效的核函数==>核函数矩阵K是对称半正定的可幸的是,这个条件也是充分的,由 Mercer定理来表达。Mercer定理:如果函数K是×四→巫上的映射(也就是从两个n维向量映射到实数域)。那么如果K是一个有效核函数(也称为 Mercer核函数),那么当且仅当对于训练样例(r()x(m,其相应的核函数矩阵是对称半正定的。Mercer定理表明为了证明K是有效的核函数,那么我们不用去寻找φ,而只需要在训练集上求出各,然后判断矩阵K是否是半正定(使用左上角主子式大于等于零等方法)即可。许多其他的教科书在 Mercer定理证明过程中使用了范数和再生希尔伯特空间等概念,但在特征是n维的情况下,这里给出的证明是等价的。核函数不仅仅用在SWM上,但凡在一个模型后算法中出现了,我们都可以常使用区(xz)去替换,这可能能够很好地改善我们的算法。posted on2011-03-1820:22 Jerry Lead阅读(…)评论(…)编辑收藏刷新评论刷新页面返回顶部博客园首页博问新闻闪存程序员招聘知识库Powered by:博客园 Copyright@ Jerry Lead

基于社交网络的推荐系统需要的用户相似度物品相似度计算程序代码和测试代码，编程语言为python