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/428849/8834878
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/428451/8867350
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/427586/8932233
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/282846/9056094
m getmclasses.m
function [in, mout]=getmclasses(filename,col,coding)
% gets classification data from a file
%
% [inputs, class]=getmclasses(filename,col,rows,coding)
%
% filename : name of file to read
% col
www.eeworm.com/read/183445/9158784
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/183443/9158817
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
www.eeworm.com/read/183443/9158979
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/181389/9256450
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
www.eeworm.com/read/181389/9256563
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/181388/9256582
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