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/149739/12354003
m maxc.m
%MAXC Maximum combining classifier
%
% W = MAXC(V)
% W = V*MAXC
%
% INPUT
% V Stacked set of classifiers
%
% OUTPUT
% W Combined classifier using max-rule
%
% DESCRIPTION
% If V = [V1,V2,V
www.eeworm.com/read/286520/8762107
pdf scaling up the accuracy of naive-bayes classifiers-a decision-tree hybrid.pdf
www.eeworm.com/read/188621/8525000
java classifier.java
/*
* WebSPHINX web crawling toolkit
* Copyright (C) 1998,1999 Carnegie Mellon University
*
* This library is free software; you can redistribute it
* and/or modify it under the terms of the GNU
www.eeworm.com/read/431675/8662303
m maxc.m
%MAXC Maximum combining classifier
%
% W = maxc(V)
% W = V*maxc
%
% If V = [V1,V2,V3, ... ] is a set of classifiers trained on the
% same classes and W is the maximum combiner: it selects the cla
www.eeworm.com/read/386050/8767268
m medianc.m
%MEDIANC Median combining classifier
%
% W = MEDIANC(V)
% W = V*MEDIANC
%
% INPUT
% V Set of classifiers
%
% OUTPUT
% W Median combining classifier on V
%
% DESCRIPTION
% If V = [V
www.eeworm.com/read/386050/8767412
m averagec.m
%AVERAGEC Combining of linear classifiers by averaging coefficients
%
% W = AVERAGEC(V)
% W = V*AVERAGEC
%
% INPUT
% V A set of affine base classifiers.
%
% OUTPUT
% W Combined classifier.
%
%
www.eeworm.com/read/386050/8767527
m prodc.m
%PRODC Product combining classifier
%
% W = PRODC(V)
% W = V*PRODC
%
% INPUT
% V Set of classifiers trained on the same classes
%
% OUTPUT
% W Product combiner
%
% DESCRIPTION
% It def
www.eeworm.com/read/386050/8768210
m meanc.m
%MEANC Mean combining classifier
%
% W = MEANC(V)
% W = V*MEANC
%
% INPUT
% V Set of classifiers (optional)
%
% OUTPUT
% W Mean combiner
%
% DESCRIPTION
% If V = [V1,V2,V3, ... ] is a s
www.eeworm.com/read/386050/8768295
m cleval.m
%CLEVAL Classifier evaluation (learning curve)
%
% E = CLEVAL(A,CLASSF,TRAINSIZES,NREPS,T,TESTFUN)
%
% INPUT
% A Training dataset
% CLASSF Classifier to evaluate
% TRAINSIZE Vect
www.eeworm.com/read/386050/8768311
m clevalb.m
%CLEVALB Classifier evaluation (learning curve), bootstrap version
%
% E = CLEVALB(A,CLASSF,TRAINSIZES,N)
%
% INPUT
% A Training dataset
% CLASSF Classifier to evaluate
% TRAINS