代码搜索：classification

找到约 3,679 项符合「classification」的源代码

代码结果 3,679
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m contents.m

% Bayes Classification. % % bayeserr - Computes the Bayesian risk for optimal classifier. % bayescln - Classifier based on Bayes decision rule for Gaussians. % bayesnd - Discrim. function, dic
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www.eeworm.com/read/128193/14311409

m svc.m

function net = svc(arg, sv, w, bias) % SVC % % Construct a support vector classification (SVC) network object. % % Examples: % % % default constructor (linear, hardmargin SVC with no suppo
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www.eeworm.com/read/128193/14311521

m pairwise.m

function net = pairwise(arg) % PAIRWISE % % Construct a pairwise multi-class support vector classification network. % % Examples: % % % default constructor (a 0-class pairwise network!) %
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www.eeworm.com/read/222301/14697739

m svc.m

function net = svc(arg, sv, w, bias) % SVC % % Construct a support vector classification (SVC) network object. % % Examples: % % % default constructor (linear, hardmargin SVC with no suppo
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www.eeworm.com/read/222301/14697840

m pairwise.m

function net = pairwise(arg) % PAIRWISE % % Construct a pairwise multi-class support vector classification network. % % Examples: % % % default constructor (a 0-class pairwise network!) %
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www.eeworm.com/read/119681/14824499

m code_ecoc.m

function [codebook,scheme] = code_ECOC(m,dist,distfct) % Generate the codebook for multiclass classification with Error Correcting Output encoding if feasible. % % function coding the multiple classes
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www.eeworm.com/read/119678/14824538

c lssvm_classificator.c

#include "lssvm_classificator.h" /* * constructor of structure containing all info for classification * * */ lssvm_c* createLSSVMClassificator(const double* svX, const int dimX, const do
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www.eeworm.com/read/220289/14843735

m conffig.m

function fh=conffig(y, t) %CONFFIG Display a confusion matrix. % % Description % CONFFIG(Y, T) displays the confusion matrix and classification % performance for the predictions mat{y} compared with
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www.eeworm.com/read/214923/15083046

m code_ecoc.m

function [codebook,scheme] = code_ECOC(m,dist,distfct) % Generate the codebook for multiclass classification with Error Correcting Output encoding if feasible. % % function coding the multiple classes
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www.eeworm.com/read/213492/15133799

m andrerr.m

function [err,r,inx] = andrerr( model, distrib ) % ANDRERR Classification error of the Generalized Anderson's task. % % Synopsis: % [err,r,inx] = andrerr( model, distrib ) % % Description: % This
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