代码搜索：classifiers
找到约 2,305 项符合「classifiers」的源代码
代码结果 2,305
www.eeworm.com/read/493294/6400010
m parsc.m
%PARSC Parse classifier
%
% PARSC(W)
%
% Displays the type and, for combining classifiers, the structure of the
% mapping W.
%
% See also MAPPINGS
% Copyright: R.P.W. Duin, duin@ph.tn.tudelft.nl
www.eeworm.com/read/400577/11572700
m parsc.m
%PARSC Parse classifier
%
% PARSC(W)
%
% Displays the type and, for combining classifiers, the structure of the
% mapping W.
%
% See also MAPPINGS
% Copyright: R.P.W. Duin, duin@ph.tn.tudelft.nl
www.eeworm.com/read/342008/12046994
m parsc.m
%PARSC Pars classifier
%
% parsc(w)
%
% Displays the type and, for combining classifiers, the structure of
% the mapping w.
%
% See also mappings
% Copyright: R.P.W. Duin, duin@ph.tn.tudelft.nl
www.eeworm.com/read/255755/12057405
m parsc.m
%PARSC Parse classifier
%
% PARSC(W)
%
% Displays the type and, for combining classifiers, the structure of the
% mapping W.
%
% See also MAPPINGS
% Copyright: R.P.W. Duin, duin@ph.tn.tudelft.nl
www.eeworm.com/read/150905/12248522
m parsc.m
%PARSC Parse classifier
%
% PARSC(W)
%
% Displays the type and, for combining classifiers, the structure of the
% mapping W.
%
% See also MAPPINGS
% Copyright: R.P.W. Duin, duin@ph.tn.tudelft.nl
www.eeworm.com/read/252976/12252067
readme
NOTE: this file was last updated with r35
check updates at: http://code.google.com/p/icsiboost
Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form a s
www.eeworm.com/read/149739/12352837
m parsc.m
%PARSC Parse classifier
%
% PARSC(W)
%
% Displays the type and, for combining classifiers, the structure of the
% mapping W.
%
% See also MAPPINGS
% Copyright: R.P.W. Duin, duin@ph.tn.tudelft.nl
www.eeworm.com/read/218623/14912066
m mil_train_test_validate.m
% Input pararmeter:
% D: data array, including the feature data and output class
% outputfile: the output file name of classifiers
function run = MIL_train_test_validate(data_file, classifier_wrap
www.eeworm.com/read/207759/15262603
m nec.m
%neighborhood classifiers,
%training is training set, testing is test set,
%D is paramater to select the distance function, D=1 is mandistance; D=2 is 欧氏距离 D=3是 infinite norm
% T is used to cont
www.eeworm.com/read/293183/8310317
m parsc.m
%PARSC Pars classifier
%
% parsc(w)
%
% Displays the type and, for combining classifiers, the structure of
% the mapping w.
%
% See also mappings
% Copyright: R.P.W. Duin, duin@ph.tn.tudelft.nl