代码搜索：classification
找到约 3,679 项符合「classification」的源代码
代码结果 3,679
www.eeworm.com/read/255755/12058301
m featrank.m
%FEATRANK Feature ranking on individual performance for classification
%
% [I,F] = FEATRANK(A,CRIT,T)
%
% INPUT
% A input dataset
% CRIT string name of a method or untrained mapp
www.eeworm.com/read/150905/12248378
m polyc.m
%POLYC Polynomial Classification
%
% W = polyc(A,CLASSF,N,S)
%
% INPUT
% A Dataset
% CLASSF Untrained classifier (optional; default: FISHERC)
% N Degree of polynomial (optional;
www.eeworm.com/read/150905/12249208
m featseli.m
%FEATSELI Individual feature selection for classification
%
% [W,R] = FEATSELI(A,CRIT,K,T)
%
% INPUT
% A Training dataset
% CRIT Name of the criterion or untrained mapping
% (default:
www.eeworm.com/read/150905/12249684
m featrank.m
%FEATRANK Feature ranking on individual performance for classification
%
% [I,F] = FEATRANK(A,CRIT,T)
%
% INPUT
% A input dataset
% CRIT string name of a method or untrained mapp
www.eeworm.com/read/150760/12265808
m contents.m
% Miscellaneous functions for STPRtoolbox.
%
% adaboost - AdaBoost algorithm.
% adaclass - AdaBoost classifier.
% cerror - Computes classification error.
% crossval - Partions data
www.eeworm.com/read/149739/12352739
m polyc.m
%POLYC Polynomial Classification
%
% W = polyc(A,CLASSF,N,S)
%
% INPUT
% A Dataset
% CLASSF Untrained classifier (optional; default: FISHERC)
% N Degree of polynomial (optional;
www.eeworm.com/read/149739/12353525
m featseli.m
%FEATSELI Individual feature selection for classification
%
% [W,R] = FEATSELI(A,CRIT,K,T)
%
% INPUT
% A Training dataset
% CRIT Name of the criterion or untrained mapping
% (default:
www.eeworm.com/read/149739/12353940
m featrank.m
%FEATRANK Feature ranking on individual performance for classification
%
% [I,F] = FEATRANK(A,CRIT,T)
%
% INPUT
% A input dataset
% CRIT string name of a method or untrained mapp
www.eeworm.com/read/128193/14311426
m getkernel.m
function kernel = getkernel(net)
% GETKERNEL
%
% Accessor method returning the kernel used in a support vector classification
% network.
%
% ker = getkernel(net)
%
% File : @svc/
www.eeworm.com/read/222301/14697756
m getkernel.m
function kernel = getkernel(net)
% GETKERNEL
%
% Accessor method returning the kernel used in a support vector classification
% network.
%
% ker = getkernel(net)
%
% File : @svc/