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/150760/12265730
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/128193/14311435
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/128193/14311523
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/128193/14311528
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/222301/14697762
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/222301/14697842
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/222301/14697849
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/213492/15133651
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/13911/286892
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/13911/286954
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