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/175689/5343423
m oaasvm.m
function model = oaasvm(data,options)
% OAASVM Multi-class SVM using One-Agains-All decomposition.
%
% Synopsis:
% model = oaasvm( data )
% model = oaasvm( data, options)
%
% Description:
% model
www.eeworm.com/read/175689/5343424
m~ oaasvm.m~
function model = oaasvm(data,options)
% OAASVM Multi-class SVM using One-Agains-All decomposition.
%
% Synopsis:
% model = oaasvm( data )
% model = oaasvm( data, options)
%
% Description:
% model
www.eeworm.com/read/175689/5343426
m oaosvm.m
function model = oaosvm(data,options)
% OAOSVM Multi-class SVM using One-Against-One decomposition.
%
% Synopsis:
% model = oaosvm( data )
% model = oaosvm( data, options )
%
% Description:
% mode
www.eeworm.com/read/430506/1929437
m multisvmdemo1.m
% Demonstration of multi-class SVM learning.
% Statistical Pattern Recognition Toolbox, Vojtech Franc, Vaclav Hlavac
% (c) Czech Technical University Prague, http://cmp.felk.cvut.cz
% Modifications
%
www.eeworm.com/read/428780/1954094
asv oaasvm.asv
function model = oaasvm(data,options)
% OAASVM Multi-class SVM using One-Agains-All decomposition.
%
% Synopsis:
% model = oaasvm( data )
% model = oaasvm( data, options)
%
% Description:
% model
www.eeworm.com/read/428780/1954097
m oaasvm.m
function model = oaasvm(data,options)
% OAASVM Multi-class SVM using One-Agains-All decomposition.
%
% Synopsis:
% model = oaasvm( data )
% model = oaasvm( data, options)
%
% Description:
% model
www.eeworm.com/read/428780/1954098
m~ oaasvm.m~
function model = oaasvm(data,options)
% OAASVM Multi-class SVM using One-Agains-All decomposition.
%
% Synopsis:
% model = oaasvm( data )
% model = oaasvm( data, options)
%
% Description:
% model
www.eeworm.com/read/428780/1954100
m oaosvm.m
function model = oaosvm(data,options)
% OAOSVM Multi-class SVM using One-Against-One decomposition.
%
% Synopsis:
% model = oaosvm( data )
% model = oaosvm( data, options )
%
% Description:
% mode
www.eeworm.com/read/373460/2761871
m multisvmdemo1.m
% Demonstration of multi-class SVM learning.
% Statistical Pattern Recognition Toolbox, Vojtech Franc, Vaclav Hlavac
% (c) Czech Technical University Prague, http://cmp.felk.cvut.cz
% Modifications
%
www.eeworm.com/read/411674/11233732
m oaasvm.m
function model = oaasvm(data,options)
% OAASVM Multi-class SVM using One-Agains-All decomposition.
%
% Synopsis:
% model = oaasvm( data )
% model = oaasvm( data, options)
%
% Description:
% model