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/150905/12249339
m prex_combining.m
%PREX_COMBINING PRTools example on classifier combining
%
% Presents the use of various fixed combiners for some
% classifiers on the 'difficult data'.
%
help prex_combining
echo on
www.eeworm.com/read/149739/12352644
m cnormc.m
%CNORMC Classifier normalisation for ML posterior probabilities
%
% W = CNORMC(W,A)
%
% INPUT
% W Classifier mapping
% A Labeled dataset
%
% OUTPUT
% W Scaled classifier mapping
%
% DESCRIPT
www.eeworm.com/read/149739/12353623
m prex_combining.m
%PREX_COMBINING PRTools example on classifier combining
%
% Presents the use of various fixed combiners for some
% classifiers on the 'difficult data'.
%
help prex_combining
echo on
www.eeworm.com/read/295179/8181860
java classonlycmar_app.java
/* -------------------------------------------------------------------------- */
/* */
/* APRIORI-TFP CMAR (CL
www.eeworm.com/read/193967/8203017
changelog-3-4
2003-11-12 11:39 eibe
* weka/classifiers/meta/Bagging.java (1.25): Changed bagging so
that weights are properly taken into account even if out-of-bag
error is calculated.
2003-11-12 11:07 eibe
www.eeworm.com/read/293183/8310779
m prex2.m
%PREX2 PRTOOLS example, plot learning curves of classifiers
help prex2
pause(1)
echo on
% set desired learning sizes
learnsize = [3 5 10 15 20 30];
% Generate Highleyman's classes
A = gend
www.eeworm.com/read/171628/9744610
h xcsmacros.h
/*
/ (XCS)
/ ------------------------------------
/ Learning Classifier System based on accuracy
/
/ by Martin Butz
/ University of Wuerzburg / University of Illinois at Urbana/Cha
www.eeworm.com/read/367281/9762657
changelog-3-4
2003-11-12 11:39 eibe
* weka/classifiers/meta/Bagging.java (1.25): Changed bagging so
that weights are properly taken into account even if out-of-bag
error is calculated.
2003-11-12 11:07 eibe
www.eeworm.com/read/415313/11076895
changelog-3-4
2003-11-12 11:39 eibe
* weka/classifiers/meta/Bagging.java (1.25): Changed bagging so
that weights are properly taken into account even if out-of-bag
error is calculated.
2003-11-12 11:07 eibe
www.eeworm.com/read/188848/8510936
m osusvmdemo.m
% ------- OSU SVM CLASSIFIER TOOLBOX Demonstrations---
%
% 1) Demonstrations of using C-SVM Classifers.
% 2) Demonstrations of using u-SVM Classifiers
% 3) Demonstration