代码搜索：classification
找到约 3,679 项符合「classification」的源代码
代码结果 3,679
www.eeworm.com/read/181388/9256711
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!)
%
www.eeworm.com/read/374698/9388954
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
www.eeworm.com/read/177674/9442387
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
www.eeworm.com/read/176823/9483095
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
www.eeworm.com/read/370825/9582576
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
www.eeworm.com/read/362246/10010405
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
www.eeworm.com/read/280595/10312322
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
www.eeworm.com/read/278889/10490766
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
www.eeworm.com/read/159921/10587853
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
www.eeworm.com/read/351797/10609629
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