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/483114/6609798
m dagsvm.m
function net = dagsvm(arg)
% PAIRWISE
%
% Construct a dag-svm multi-class support vector classification network.
%
% Examples:
%
% % default constructor (a 0-class dagsvm network!)
%
%
www.eeworm.com/read/344640/11869963
m osusvmclass.m
function [Labels, scores]= osuSVMClass(Samples, Ns, AlphaY, SVs, Bias, Parameters)
% USAGE:
% [Labels, scores]= osuSVMClass(Samples, Ns, AlphaY, SVs, Bias, Parameters)
%
% DESCRIPTION:
% Classif
www.eeworm.com/read/344640/11870040
m osusvmtrain.m
function [AlphaY, SVs, Bias, Para, Ns] = osuSVMTrain(Samples, Labels, Parameters,Verbose)
% USAGE:
% [AlphaY, SVs, Bias, Para, Ns] = osuSVMTrain(Samples, Labels, Parameters)
% [AlphaY, SVs, Bias, P
www.eeworm.com/read/128193/14311431
m maxwin.m
function net = maxwin(arg, sv, w, bias, C, zeta)
% MAXWIN
%
% Construct a max-win multi-class support vector classification network.
%
% Examples:
%
% % default constructor (a 0-class maxw
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!)
%
www.eeworm.com/read/128193/14311530
m dagsvm.m
function net = dagsvm(arg)
% PAIRWISE
%
% Construct a dag-svm multi-class support vector classification network.
%
% Examples:
%
% % default constructor (a 0-class dagsvm network!)
%
%
www.eeworm.com/read/222301/14697760
m maxwin.m
function net = maxwin(arg, sv, w, bias, C, zeta)
% MAXWIN
%
% Construct a max-win multi-class support vector classification network.
%
% Examples:
%
% % default constructor (a 0-class maxw
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!)
%
www.eeworm.com/read/222301/14697852
m dagsvm.m
function net = dagsvm(arg)
% PAIRWISE
%
% Construct a dag-svm multi-class support vector classification network.
%
% Examples:
%
% % default constructor (a 0-class dagsvm network!)
%
%
www.eeworm.com/read/111603/15509326
m maxwin.m
function net = maxwin(arg, sv, w, bias, C, zeta)
% MAXWIN
%
% Construct a max-win multi-class support vector classification network.
%
% Examples:
%
% % default constructor (a 0-class maxw