代码搜索：Multi-class
找到约 534 项符合「Multi-class」的源代码
代码结果 534
www.eeworm.com/read/140850/13059664
m fwd.m
function y = fwd(net, x)
% FWD
%
% Compute the output of a dag-svm multi-class support vector classification
% network.
%
% y = fwd(net, x);
%
% where x is a matrix of input patterns, in
www.eeworm.com/read/312163/13617416
m mvsvmclass.m
function [y,votes] = mvsvmclass(X,model)
% MVSVMCLASS Majority voting multi-class SVM classifier.
%
% Synopsis:
% [y,votes] = mvsvmclass(X,model)
%
% Description:
% [y,votes] = mvsvmclass(X,model) m
www.eeworm.com/read/128684/5980332
m fwd.m
function y = fwd(net,x)
% FWD
%
% Compute the output of a multi-class support vector classification network.
%
% y = fwd(net, x);
%
% where x is a matrix of input patterns, where each colu
www.eeworm.com/read/128684/5980372
m fwd.m
function y = fwd(net,x)
% FWD
%
% Compute the output of a multi-class support vector classification network.
%
% y = fwd(net, x);
%
% where x is a matrix of input patterns, where each colu
www.eeworm.com/read/128684/5980374
m fwd.m
function y = fwd(net, x)
% FWD
%
% Compute the output of a dag-svm multi-class support vector classification
% network.
%
% y = fwd(net, x);
%
% where x is a matrix of input patterns, in
www.eeworm.com/read/483114/6609705
m fwd.m
function y = fwd(net,x)
% FWD
%
% Compute the output of a multi-class support vector classification network.
%
% y = fwd(net, x);
%
% where x is a matrix of input patterns, where each colu
www.eeworm.com/read/483114/6609794
m fwd.m
function y = fwd(net,x)
% FWD
%
% Compute the output of a multi-class support vector classification network.
%
% y = fwd(net, x);
%
% where x is a matrix of input patterns, where each colu
www.eeworm.com/read/483114/6609797
m fwd.m
function y = fwd(net, x)
% FWD
%
% Compute the output of a dag-svm multi-class support vector classification
% network.
%
% y = fwd(net, x);
%
% where x is a matrix of input patterns, in
www.eeworm.com/read/342711/12005113
m mvsvmclass.m
function [y,votes] = mvsvmclass(X,model)
% MVSVMCLASS Majority voting multi-class SVM classifier.
%
% Synopsis:
% [y,votes] = mvsvmclass(X,model)
%
% Description:
% [y,votes] = mvsvmclass(X,model) m
www.eeworm.com/read/342711/12005133
txt oaosvm.txt
1.oaosvm.m
% OAOSVM Multi-class SVM using One-Against-One decomposition.
%
% Synopsis:
% model = oaosvm( data )
% model = oaosvm( data, options )
%
% Description:
% model = oaosvm( data )