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/149739/12353586
m clevals.m
%CLEVALS Classifier evaluation (feature size/learning curve), bootstrap possible
%
% E = CLEVALS(A,CLASSF,FEATSIZE,TRAINSIZES,NREPS,T,FID)
%
% INPUT
% A Training dataset
% CLASSF Cl
www.eeworm.com/read/149739/12353638
m reject.m
%REJECT Compute the error-reject trade-off curve
%
% E = REJECT(D);
% E = REJECT(A,W);
%
% INPUT
% D Classification result, D = A*W
% A Dataset
% W Cell array of trained classifiers
www.eeworm.com/read/130492/14189616
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/124570/14558608
java classifier.java
/*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either vers
www.eeworm.com/read/213240/15140001
m dd_ex9.m
% Show the crossvalidation procedure
%
% Generate some simple data, split it in training and testing data using
% 10-fold cross-validation, and compare several one-class classifiers on
% it.
% Copyri
www.eeworm.com/read/293183/8310817
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/415313/11076942
readme_knowledgeflow
===============================================================
KnowledgeFlow GUI Quick Primer
===============================================================
The KnowledgeFlow provides an alternativ
www.eeworm.com/read/300368/13917635
java classifier.java
/*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either vers
www.eeworm.com/read/204456/15339298
m dd_ex9.m
% Show the crossvalidation procedure
%
% Generate some simple data, split it in training and testing data using
% 10-fold cross-validation, and compare several one-class classifiers on
% it.
% Copyri
www.eeworm.com/read/431675/8661680
m medianc.m
%MEDIANC Median combining classifier
%
% W = medianc(V)
% W = V*medianc
%
% If V = [V1,V2,V3, ... ] is a set of classifiers trained on the
% same classes and W is the median combiner: it selects