文件名称:RescaleNew

  • 所属分类:
  • matlab例程
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2012-11-26
  • 文件大小:
  • 5.29mb
  • 下载次数:
  • 0次
  • 提 供 者:
  • cla****
  • 相关连接:
  • 下载说明:
  • 别用迅雷下载,失败请重下,重下不扣分!

介绍说明--下载内容均来自于网络,请自行研究使用

这个包包括了一个多类代价敏感学习方法Rescalenew。这是一个通用的方法,如instance-weighting, sampling, threshold-moving等。-This package includes a multi-class cost-sensitive learning method Rescalenew. This is a general method which can be realized in many ways such as instance-weighting, sampling, threshold-moving, etc. This package includes five implementations of the method, that is, instance-weighting+C4.5, over-sampling+C4.5, under-sampling+C4.5, threshold-moving+NN and threshold-moving+PETs (probability estimation trees).




(系统自动生成,下载前可以参看下载内容)

下载文件列表

CostGenerator\coMatrix.m

.............\ConsistentCostMatrixGen.asv

.............\ConsistentCostMatrixGen.m

.............\CostMatrixGen.m

.............\CostMatrixGenerator.asv

.............\example.asv

.............\example.m

.............\InconsistentCostMatrixGen.m

CostGenerator

dataset\balance\balance.arff

.......\.......\balance_info.mat

.......\.......\dataset_info.m

.......\balance

.......\syn-a\syn-a.arff

.......\.....\syn-a_info.mat

.......\syn-a

.......\....b\syn-b.arff

.......\.....\syn-b_info.mat

.......\syn-b

.......\....c\syn-c.arff

.......\.....\syn-c_info.mat

.......\syn-c

.......\....d\syn-d.arff

.......\.....\syn-d_info.mat

.......\syn-d

.......\....e\syn-e.arff

.......\.....\syn-e_info.mat

.......\syn-e

.......\....f\syn-f.arff

.......\.....\syn-f_info.mat

.......\syn-f

dataset

lib\src\weka\associations\Apriori.java

...\...\....\............\AprioriItemSet.java

...\...\....\............\Associator.java

...\...\....\............\CaRuleGeneration.java

...\...\....\............\CARuleMiner.java

...\...\....\............\ItemSet.java

...\...\....\............\LabeledItemSet.java

...\...\....\............\PredictiveApriori.java

...\...\....\............\PriorEstimation.java

...\...\....\............\RuleGeneration.java

...\...\....\............\RuleItem.java

...\...\....\............\tertius\AttributeValueLiteral.java

...\...\....\............\.......\Body.java

...\...\....\............\.......\Head.java

...\...\....\............\.......\IndividualInstance.java

...\...\....\............\.......\IndividualInstances.java

...\...\....\............\.......\IndividualLiteral.java

...\...\....\............\.......\Literal.java

...\...\....\............\.......\LiteralSet.java

...\...\....\............\.......\Predicate.java

...\...\....\............\.......\Rule.java

...\...\....\............\.......\SimpleLinkedList.java

...\...\....\............\tertius

...\...\....\............\Tertius.java

...\...\....\associations

...\...\....\.ttributeSelection\ASEvaluation.java

...\...\....\..................\ASSearch.java

...\...\....\..................\AttributeEvaluator.java

...\...\....\..................\AttributeSelection.java

...\...\....\..................\AttributeTransformer.java

...\...\....\..................\BestFirst.java

...\...\....\..................\CfsSubsetEval.java

...\...\....\..................\ChiSquaredAttributeEval.java

...\...\....\..................\ClassifierSubsetEval.java

...\...\....\..................\ConsistencySubsetEval.java

...\...\....\..................\ErrorBasedMeritEvaluator.java

...\...\....\..................\ExhaustiveSearch.java

...\...\....\..................\GainRatioAttributeEval.java

...\...\....\..................\GeneticSearch.java

...\...\....\..................\GreedyStepwise.java

...\...\....\..................\HoldOutSubsetEvaluator.java

...\...\....\..................\InfoGainAttributeEval.java

...\...\....\..................\OneRAttributeEval.java

...\...\....\..................\PrincipalComponents.java

...\...\....\..................\RaceSearch.java

...\...\....\..................\RandomSearch.java

...\...\....\..................\RankedOutputSearch.java

...\...\....\..................\Ranker.java

...\...\....\..................\RankSearch.java

...\...\....\..................\ReliefFAttributeEval.java

...\...\....\..................\StartSetHandler.java

...\...\....\..................\SubsetEvaluator.java

...\...\....\..................\SVMAttributeEval.java

...\...\....\..................\SymmetricalUncertAttributeEval.java

...\...\....\..................\UnsupervisedAttributeEvaluator.java

...\...\....\..................\UnsupervisedSubsetEvaluator.java

...\...\....\..................\WrapperSubsetEval.java

...\...\....\attributeSelection

...\...\....\classifiers\bayes\AODE.java

...\...\....\...........\.....\BayesNet.java

...\...\....\...........\.....\ComplementNaiveBayes.java

...\...\....\...........\.....\NaiveBayes.java

...\...\....\...........\.....\NaiveBayesMultinomial.java

...\...\....\...........\.....\NaiveBayesSimple.java

...\...\....\...........\.....\N

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