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/111603/15509377
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/111603/15509382
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/444082/7618743
pdf improving the performance of multi-class svms in face recognition with nearest neighbor rule.pdf
www.eeworm.com/read/280595/10311878
m~ contents.m~
% Support Vector Machines.
%
% bsvm2 - Multi-class BSVM with L2-soft margin.
% evalsvm - Trains and evaluates Support Vector Machines classifier.
% mvsvmclass - Majority voting multi-cla
www.eeworm.com/read/159921/10588020
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/159921/10588122
m contents.m
% Support Vector Machines.
%
% msmo - Multi-class version of SMO.
% msvmclass - Multi-class version of SVMCLASS.
% msvmmot - Multi-class version of SVMMOT.
% ka - Kernel-Adatron algo
www.eeworm.com/read/159921/10588141
m~ multisvmdemo1.m~
% Demonstration of multi-class SVM learning.
% loads data
data = load('multisvm1');
% setting SVM parameters
ker='rbf';
arg=1;
C=inf;
% learning SVM classifier
[model]=m2osmo( data.X, data.I, ker,
www.eeworm.com/read/421949/10676704
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/421949/10676797
m contents.m
% Support Vector Machines.
%
% msmo - Multi-class version of SMO.
% msvmclass - Multi-class version of SVMCLASS.
% msvmmot - Multi-class version of SVMMOT.
% ka - Kernel-Adatron algo
www.eeworm.com/read/421949/10676819
m~ multisvmdemo1.m~
% Demonstration of multi-class SVM learning.
% loads data
data = load('multisvm1');
% setting SVM parameters
ker='rbf';
arg=1;
C=inf;
% learning SVM classifier
[model]=m2osmo( data.X, data.I, ker,