代码搜索：classification

找到约 3,679 项符合「classification」的源代码

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m~ cerror.m~

function error=cerror(y1,y2,label) % CERROR Computes classification error. % % Synopsis: % error = cerror(y1,y2) % error = cerror(y1,y2,label) % % Description: % error = cerror(y1,y2) returns clas
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m cerror.m

function error=cerror(y1,y2,label) % CERROR Computes classification error. % % Synopsis: % error = cerror(ypred,ytrue) % error = cerror(ypred,ytrue,label) % % Description: % error = cerror(ypred,y
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www.eeworm.com/read/284759/8900411

m softmargin.m

function y = softmargin(x) %SOFTMARGIN Support Vector Classification Softmargin % % Usage: y = softmargin(x) % % Author: Steve Gunn (srg@ecs.soton.ac.uk) if (nargin ~= 1) % check correct number o
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www.eeworm.com/read/427351/8950223

readme

Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It can solve C-SVM classification, nu-SVM classification, one-class-SVM, epsilon-SVM regression, and nu-S
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readme

Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It can solve C-SVM classification, nu-SVM classification, one-class-SVM, epsilon-SVM regression, and nu-S
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www.eeworm.com/read/281455/9154913

m softmargin.m

function y = softmargin(x) %SOFTMARGIN Support Vector Classification Softmargin % % Usage: y = softmargin(x) % % Author: Steve Gunn (srg@ecs.soton.ac.uk) if (nargin ~= 1) % check correct number o
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m codice_b.m

% % In order to obtain a simple and effective source code for % Fingerprint Recognition System please visit % http://utenti.lycos.it/matlab/beginner.htm % % There you will be able to make a sma
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www.eeworm.com/read/181816/9236187

m softmargin.m

function y = softmargin(x) %SOFTMARGIN Support Vector Classification Softmargin % % Usage: y = softmargin(x) % % Author: Steve Gunn (srg@ecs.soton.ac.uk) if (nargin ~= 1) % check correct n
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www.eeworm.com/read/377948/9256347

m contents.m

% Neural Network Design Demonstrations. % Copyright (c) 1994 by PWS Publishing Company. % % General % nnd - Splash screen. % nndtoc - Table of contents. % nnsound - Turn Neural Net
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citation

citHeader("To cite randomForest in publications use:") citEntry(entry="Article", title = "Classification and Regression by randomForest", author = personList(person(last="Liaw",
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