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/193967/8202994
changelog-3-2
2001-03-13 16:52 mhall
* weka/: classifiers/MultiClassClassifier.java (1.22),
classifiers/neural/NeuralNetwork.java (1.3),
core/converters/AbstractLoader.java (1.2),
core/converters/ArffLoader.
www.eeworm.com/read/193967/8203019
changelog-3-3-3
2002-06-27 15:45 rkirkby
* weka/gui/GenericObjectEditor.props (1.62): Added XMeans.
2002-06-27 15:42 rkirkby
* weka/filters/unsupervised/attribute/Makefile (1.3): Put
AddCluster back in, as it
www.eeworm.com/read/193967/8203027
changelog-3-1-8
2000-05-08 11:47 mhall
* weka/gui/experiment/DatasetListPanel.java (1.11): Added a check
box that allows users to choose to store paths to datasets relative
to the user (start) directory.
2000-0
www.eeworm.com/read/193967/8203039
changelog-3-1-9
2000-10-17 17:03 mhall
* weka/Makefile (1.28): Added remote.policy entry. Modified code
for adding the pointer to the Tutorial.pdf file etc. to work
properly with 1.2 javadoc's emulation o
www.eeworm.com/read/193967/8203048
changelog-3-3-6
2003-04-17 11:54 mhall
* weka/gui/beans/README_KnowledgeFlow (1.3): removed a linefeed
2003-04-17 11:52 mhall
* weka/gui/beans/README_KnowledgeFlow (1.2): Removed reference to
Tools toolbar
2
www.eeworm.com/read/193967/8203065
changelog-3-3
2001-07-06 12:56 mhall
* weka/experiment/Stats.java (1.8): Added method to subtract a
value n times.
2001-07-06 12:52 mhall
* weka/gui/explorer/ClustererPanel.java (1.31): Added support for
v
www.eeworm.com/read/393127/8309247
h iweaklearner.h
//LAB_LicenseBegin==============================================================
// Copyright (c) 2005-2006, Hicham GHORAYEB < ghorayeb@gmail.com >
// All rights reserved.
//
// This software is
www.eeworm.com/read/293183/8310146
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
www.eeworm.com/read/293183/8310195
m minc.m
%MINC Minimum combining classifier
%
% W = minc(V)
% W = V*minc
%
% If V = [V1,V2,V3, ... ] is a set of classifiers trained on the
% same classes and W is the minimum combiner: it selects the cla