代码搜索:classifiers

找到约 2,305 项符合「classifiers」的源代码

代码结果 2,305
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m prex1.m

%PREX1 PRTOOLS example of classifiers and scatter plot help prex1 pause(1) echo on A = gendath(100,100); % Generate Highleyman's classes % Training set c (20 objects / class) % Test set d
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m disperror.m

%DISPERROR Display error matrix with information on classifiers and datasets % % DISPERROR(DATA,CLASSF,ERROR,STD,FID) % % INPUT % DATA Cell array of M datasets or dataset names (strings) % CLAS
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m rsscc.m

%RSSCC Random subspace combining classifier % % W = RSSCC(A,CLASSF,NFEAT,NCLASSF) % % INPUT % A Dataset % CLASSF Untrained base classifier % NFEAT Number of features for train
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java crossvalidationtest.java

import weka.classifiers.Evaluation; import java.util.Random; import weka.core.Instances; import weka.core.Instance; import weka.filters.Filter; import weka.filters.unsupervised.attribute.Remove
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index

knn.var K-Nearest Neighbor Classification With Variable Selection knnTree K-NEAREST NEIGHBOR CLASSIFIERS WITHIN LEAVES OF
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m dd_ex2.m

% DD_EX2 % % Show the performance of a whole list of classifiers on a simple % artificial one-class problem. % Copyright: D.M.J. Tax, D.M.J.Tax@prtools.org % Faculty EWI, Delft University of Techno
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changelog-3-1-7

2000-02-22 14:44 mhall * weka/attributeSelection/Makefile (1.11): Added RaceSearch, ClassifierSubsetEval, HoldOutSubsetEvaluator and ErrorBasedMeritEvaluator. 2000-02-22 13:43 mhall * weka/at
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html overview-tree.html

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package-list

weka.associations weka.attributeSelection weka.classifiers weka.classifiers.adtree weka.classifiers.evaluation weka.classifiers.j48 weka.classifiers.kstar weka.classifiers.m5 weka.classifiers.neural w
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html allclasses-frame.html