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by Randal L. Schwartz and Tom Phoenix ISBN 0-596-00132-0 Third Edition, published July 2001. (See the catalog page for this book.) LEARNing Perl, 3rd Edition. Table of Contents Copyright Page Preface Chapter 1: Introduction Chapter 2: Scalar Data Chapter 3: Lists and Arrays Chapter 4: Subroutines Chapter 5: Hashes Chapter 6: I/O Basics Chapter 7: Concepts of Regular Expressions Chapter 8: More About Regular Expressions Chapter 9: Using Regular Expressions Chapter 10: More Control Structures Chapter 11: Filehandles and File Tests Chapter 12: Directory Operations Chapter 13: Manipulating Files and Directories Chapter 14: Process Management Chapter 15: Strings and Sorting Chapter 16: Simple Databases Chapter 17: Some Advanced Perl Techniques Appendix A: Exercise Answers Appendix B: Beyond the Llama Index Colophon
標(biāo)簽： L. published Schwartz Edition
上傳時(shí)間： 2015-09-03
上傳用戶：lifangyuan12
一個(gè)由Mike Gashler完成的機(jī)器學(xué)習(xí)方面的includes neural net, naive bayesian classifier, decision tree, KNN, a genetic algorithm, and some manifold LEARNing algorithms.
標(biāo)簽： classifier includes bayesian decision
上傳時(shí)間： 2015-09-11
上傳用戶：gaome
a Java toolkit for training, testing, and applying Bayesian Network Classifiers. Implemented classifiers have been shown to perform well in a variety of artificial intelligence, machine LEARNing, and data mining applications.
標(biāo)簽： Classifiers Implemented Bayesian applying
上傳時(shí)間： 2015-09-11
上傳用戶：ommshaggar
Java Regex Primer Since version 1.4, Java has had support for Regular Expressions in the core API. Java Regex follows the same basic principles used in other languages, just withdi erent access methods, and some subtledi erences with the patterns. This primer is aimed towards developers already familiar with regex in other languages wanting a brief outline of its support in Java. It may also be beneficial to developers LEARNing regex if used in conjunction with detailed documentation explaining the construction of regex patterns. Reading the javadoc forjava.util.regex. Pattern is a must to see how the Java regex patterns aredi erent from other languages such as Perl. Most of the functions discussed herin are from thejava.util.regex. Matcher class with a few fromjava.util.regex. Pattern. Reading this text in conjunction with the javadoc of those classes is advised.
標(biāo)簽： Java Expressions Regular version
上傳時(shí)間： 2013-12-18
上傳用戶：lanhuaying
類神網(wǎng)網(wǎng)路分類，分類方式為LEARNing Bector Quantization
上傳時(shí)間： 2013-12-03
上傳用戶：Breathe0125
此為類神經(jīng)網(wǎng)路分類，分類方式為LEARNing Bector Quantization 的C語(yǔ)言源碼
上傳時(shí)間： 2014-01-01
上傳用戶：zhenyushaw
If you design applications, or if you build, test, or document solutions, you need this book. If your applications are Web-based or Win32-based, you need this book. Finally, if you are currently LEARNing or building Microsoft .NET Framework–based applications, you need this book. In short, if you are involved in building applications, you will find much to learn in this book.
標(biāo)簽： you applications solutions document
上傳時(shí)間： 2013-12-13
上傳用戶：kernaling
一個(gè)詞法分析編譯器，可以供學(xué)習(xí)之用。A lexical analysis compiler can be used for LEARNing，C-C
上傳時(shí)間： 2013-12-10
上傳用戶：zhengjian
This data set contains WWW-pages collected from computer science departments of various universities in January 1997 by the World Wide Knowledge Base (Web->Kb) project of the CMU text LEARNing group. The 8,282 pages were manually classified into the following categories: student (1641) faculty (1124) staff (137) department (182) course (930) project (504) other (3764)
標(biāo)簽： universities departments WWW-pages collected
上傳時(shí)間： 2015-11-12
上傳用戶：chenlong
Introduction to neural networks, Back Propagation networks, Recurrent networks, Self Oganising networks, Reinforcement LEARNing. Robot Control, Vision systems. Hardware and software Implementaionts.
標(biāo)簽： networks Introduction Propagation Oganising
上傳時(shí)間： 2014-01-14
上傳用戶：xcy122677
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