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Title: mulan Download
 Description: Mulan implementation of multi label classification, containing multiple important classifier, is the essence of the classification
 Downloaders recently: [More information of uploader yao]
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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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