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www.eeworm.com/read/192103/8404385

htm ch02_02.htm

Numbers (Learning Perl, 3rd Edition)
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www.eeworm.com/read/192103/8404387

htm appb_03.htm

Packages (Learning Perl, 3rd Edition)
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htm appb_08.htm

Other Operators and Functions (Learning Perl, 3rd Edition)
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www.eeworm.com/read/192103/8404398

htm ch07_02.htm

Using Simple Patterns (Learning Perl, 3rd Edition)
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www.eeworm.com/read/192103/8404410

htm ch02_03.htm

Strings (Learning Perl, 3rd Edition)
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htm appa_15.htm

Answers to Chapter 16 Exercises (Learning Perl, 3rd Edition)
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www.eeworm.com/read/192103/8404425

htm ch01_05.htm

A Whirlwind Tour of Perl (Learning Perl, 3rd Edition)
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www.eeworm.com/read/386950/8716560

m c4_5trainfun.m

%C4_5TrainFun.m %Shiliang Sun (shiliangsun@gmail.com), Apr. 8, 2007 %Learning a decision tree by the C4.5 algorithm %This code is based on the C4_5.m file from "Classification Toolbox for Matlab"
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www.eeworm.com/read/429606/8799784

xsd imscp_rootv1p1p2.xsd

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www.eeworm.com/read/428849/8834624

m svm2.m

function model = svm2(data,options) % SVM2 Learning of binary SVM classifier with L2-soft margin. % % Synopsis: % model = svm2(data) % model = svm2(data,options) % % Description: % This function le
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