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/400577/11572640

m mclassm.m

%MCLASSM Computation of a combined, multi-class based mapping % % W = MCLASSM(A,MAPPING,MODE,PAR) % % INPUT % A Dataset % MAPPING Untrained mapping % MODE Combining mode (optional; de
www.eeworm.com/read/255755/12057312

m mclassm.m

%MCLASSM Computation of a combined, multi-class based mapping % % W = MCLASSM(A,MAPPING,MODE,PAR) % % INPUT % A Dataset % MAPPING Untrained mapping % MODE Combining mode (optional; de
www.eeworm.com/read/150905/12248367

m mclassm.m

%MCLASSM Computation of a combined, multi-class based mapping % % W = MCLASSM(A,MAPPING,MODE,PAR) % % INPUT % A Dataset % MAPPING Untrained mapping % MODE Combining mode (optional; de
www.eeworm.com/read/149739/12352731

m mclassm.m

%MCLASSM Computation of a combined, multi-class based mapping % % W = MCLASSM(A,MAPPING,MODE,PAR) % % INPUT % A Dataset % MAPPING Untrained mapping % MODE Combining mode (optional; de
www.eeworm.com/read/13911/286953

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/411379/2189008

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/386050/8769413

m mclassc.m

%MCLASSC Computation of multi-class classifier from 2-class discriminants % % W = MCLASSC(A,CLASSF,MODE) % % INPUT % A Dataset % CLASSF Untrained classifier % MODE Type of handling mu
www.eeworm.com/read/299984/7140680

m mclassc.m

%MCLASSC Computation of multi-class classifier from 2-class discriminants % % W = MCLASSC(A,CLASSF,MODE) % % INPUT % A Dataset % CLASSF Untrained classifier % MODE Type of handling mu
www.eeworm.com/read/460435/7251156

m mclassc.m

%MCLASSC Computation of multi-class classifier from 2-class discriminants % % W = MCLASSC(A,CLASSF,MODE) % % INPUT % A Dataset % CLASSF Untrained classifier % MODE Type of handling mu
www.eeworm.com/read/450608/7480557

m mclassc.m

%MCLASSC Computation of multi-class classifier from 2-class discriminants % % W = MCLASSC(A,CLASSF,MODE) % % INPUT % A Dataset % CLASSF Untrained classifier % MODE Type of handling mu