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Download multiInstanceLearning JAR 1.0.9 with all dependencies


A collection of multi-instance learning classifiers. Includes the Citation KNN method, several variants of the diverse density method, support vector machines for multi-instance learning, simple wrappers for applying standard propositional learners to multi-instance data, decision tree and rule learners, and some other methods.

Files of the artifact multiInstanceLearning version 1.0.9 from the group nz.ac.waikato.cms.weka.

Artifact multiInstanceLearning
Group nz.ac.waikato.cms.weka
Version 1.0.9
Last update 21. February 2017
Tags: methods learners other density diverse simple data wrappers collection includes decision tree vector rule variants instance citation support classifiers applying standard learning machines propositional multi several method some
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/multiInstanceLearning
License GNU General Public License 3
Dependencies amount 2
Dependencies weka-dev, multiInstanceFilters,
There are maybe transitive dependencies!
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Source code of multiInstanceLearning version 1.0.9

META-INF
META-INF.META-INF.MANIFEST.MF
weka.classifiers.mi
weka.classifiers.mi.weka.classifiers.mi.MDD
weka.classifiers.mi.weka.classifiers.mi.MIBoost
weka.classifiers.mi.weka.classifiers.mi.MIDD
weka.classifiers.mi.weka.classifiers.mi.MIEMDD
weka.classifiers.mi.weka.classifiers.mi.MILR
weka.classifiers.mi.weka.classifiers.mi.MINND
weka.classifiers.mi.weka.classifiers.mi.MIOptimalBall
weka.classifiers.mi.weka.classifiers.mi.MIRI
weka.classifiers.mi.weka.classifiers.mi.MISMO
weka.classifiers.mi.weka.classifiers.mi.MISVM
weka.classifiers.mi.weka.classifiers.mi.MITI
weka.classifiers.mi.weka.classifiers.mi.MIWrapper
weka.classifiers.mi.weka.classifiers.mi.QuickDDIterative
weka.classifiers.mi.weka.classifiers.mi.SimpleMI
weka.classifiers.mi.weka.classifiers.mi.TLC
weka.classifiers.mi.weka.classifiers.mi.TLD
weka.classifiers.mi.weka.classifiers.mi.TLDSimple
weka.classifiers.mi.miti
weka.classifiers.mi.miti.weka.classifiers.mi.miti.AlgorithmConfiguration
weka.classifiers.mi.miti.weka.classifiers.mi.miti.BEPP
weka.classifiers.mi.miti.weka.classifiers.mi.miti.Bag
weka.classifiers.mi.miti.weka.classifiers.mi.miti.Gini
weka.classifiers.mi.miti.weka.classifiers.mi.miti.IBestSplitMeasure
weka.classifiers.mi.miti.weka.classifiers.mi.miti.MaxBEPP
weka.classifiers.mi.miti.weka.classifiers.mi.miti.NextSplitHeuristic
weka.classifiers.mi.miti.weka.classifiers.mi.miti.SSBEPP
weka.classifiers.mi.miti.weka.classifiers.mi.miti.Split
weka.classifiers.mi.miti.weka.classifiers.mi.miti.SufficientBagStatistics
weka.classifiers.mi.miti.weka.classifiers.mi.miti.SufficientInstanceStatistics
weka.classifiers.mi.miti.weka.classifiers.mi.miti.SufficientStatistics
weka.classifiers.mi.miti.weka.classifiers.mi.miti.TreeNode
weka.classifiers.mi.supportVector
weka.classifiers.mi.supportVector.weka.classifiers.mi.supportVector.MIPolyKernel
weka.classifiers.mi.supportVector.weka.classifiers.mi.supportVector.MIRBFKernel




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