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文件名称:mulan

  • 所属分类：
  • 其他小程序
  • 资源属性：
  • [Java] [源码]
  • 上传时间：
  • 2015-08-19
  • 文件大小：
  • 976kb
  • 下载次数：
  • 0次
  • 提 供 者：
  • y**
  • 相关连接：
  • 无
  • 下载说明：
  • 别用迅雷下载，失败请重下，重下不扣分！
修正介绍说明

介绍说明－－下载内容均来自于网络，请自行研究使用

mulan实现多标签分类，内含多个重要的分类器，乃是分类中的精华-Mulan implementation of multi label classification, containing multiple important classifier, is the essence of the classification
(系统自动生成,下载前可以参看下载内容)

下载文件列表





mulan\.classpath

.....\.project

.....\.settings\org.eclipse.jdt.core.prefs

.....\bin\emotions.arff

.....\...\emotions.xml

.....\...\mlknn\Main.class

.....\...\.....\NewMlknn.class

.....\...\.ulan\classifier\InvalidDataException.class

.....\...\.....\..........\lazy\BRkNN$ExtensionType.class

.....\...\.....\..........\....\BRkNN.class

.....\...\.....\..........\....\IBLR_ML.class

.....\...\.....\..........\....\MLkNN.class

.....\...\.....\..........\....\MultiLabelKNN.class

.....\...\.....\..........\LearnerException.class

.....\...\.....\..........\meta\ClusteringBased.class

.....\...\.....\..........\....\ConstrainedKMeans$bucketInstance.class

.....\...\.....\..........\....\ConstrainedKMeans.class

.....\...\.....\..........\....\EnsembleOfSubsetLearners$IdComparator.class

.....\...\.....\..........\....\EnsembleOfSubsetLearners$LabelSubsetsWeight.class

.....\...\.....\..........\....\EnsembleOfSubsetLearners$SubsetsDistance.class

.....\...\.....\..........\....\EnsembleOfSubsetLearners.class

.....\...\.....\..........\....\HierarchyBuilder$Method.class

.....\...\.....\..........\....\HierarchyBuilder.class

.....\...\.....\..........\....\HMC.class

.....\...\.....\..........\....\HMCNode.class

.....\...\.....\..........\....\HOMER.class

.....\...\.....\..........\....\MultiLabelMetaLearner.class

.....\...\.....\..........\....\RAkEL.class

.....\...\.....\..........\....\RAkELd.class

.....\...\.....\..........\....\SubsetLearner.class

.....\...\.....\..........\....\thresholding\ExampleBasedFMeasureOptimizer.class

.....\...\.....\..........\....\............\Meta.class

.....\...\.....\..........\....\............\MetaLabeler.class

.....\...\.....\..........\....\............\MLPTO.class

.....\...\.....\..........\....\............\OneThreshold.class

.....\...\.....\..........\....\............\RCut.class

.....\...\.....\..........\....\............\SCut.class

.....\...\.....\..........\....\............\ThresholdPrediction.class

.....\...\.....\..........\ModelInitializationException.class

.....\...\.....\..........\MultiLabelLearner.class

.....\...\.....\..........\MultiLabelLearnerBase.class

.....\...\.....\..........\MultiLabelOutput.class

.....\...\.....\..........\neural\BPMLL.class

.....\...\.....\..........\......\BPMLLAlgorithm.class

.....\...\.....\..........\......\DataPair.class

.....\...\.....\..........\......\MMPLearner.class

.....\...\.....\..........\......\MMPMaxUpdateRule.class

.....\...\.....\..........\......\MMPRandomizedUpdateRule.class

.....\...\.....\..........\......\MMPUniformUpdateRule.class

.....\...\.....\..........\......\MMPUpdateRuleBase.class

.....\...\.....\..........\......\MMPUpdateRuleType.class

.....\...\.....\..........\......\model\ActivationFunction.class

.....\...\.....\..........\......\.....\ActivationLinear.class

.....\...\.....\..........\......\.....\ActivationTANH.class

.....\...\.....\..........\......\.....\BasicNeuralNet.class

.....\...\.....\..........\......\.....\NeuralNet.class

.....\...\.....\..........\......\.....\Neuron.class

.....\...\.....\..........\......\ModelUpdateRule.class

.....\...\.....\..........\......\NormalizationFilter.class

.....\...\.....\..........\......\ThresholdFunction.class

.....\...\.....\..........\transformation\AdaBoostMH.class

.....\...\.....\..........\..............\BinaryRelevance.class

.....\...\.....\..........\..............\CalibratedLabelRanking.class

.....\...\.....\..........\..............\ClassifierChain.class

.....\...\.....\..........\..............\EnsembleOfClassifierChains.class

.....\...\.....\..........\..............\EnsembleOfPrunedSets.class

.....\...\.....\..........\..............\IncludeLabelsClassifier.class

.....\...\.....\..........\..............\LabelPowerset.class

.....\...\.....\..........\..............\LabelsetPruning.class

.....\...\.....\..........\..............\MultiClassLearner.class

.....\...\.....\..........\..............\MultiLabelStacking.class

.....\...\.....\..........\..............\PPT$Strategy.class

.....\...\.....\..........\..............\PPT.class

.....\...\.....\..........\......

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