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stackingC from group nz.ac.waikato.cms.weka (version 1.0.4)

Implements StackingC (more efficient version of stacking). For more information, see A.K. Seewald: How to Make Stacking Better and Faster While Also Taking Care of an Unknown Weakness. In: Nineteenth International Conference on Machine Learning, 554-561, 2002. Note: requires meta classifier to be a numeric prediction scheme

Group: nz.ac.waikato.cms.weka Artifact: stackingC
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Artifact stackingC
Group nz.ac.waikato.cms.weka
Version 1.0.4
Last update 19. November 2018
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/stackingC
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
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truelicense from group net.truelicense (version 3.2.0)

TrueLicense is a commercial open source engine for license management on the Java Virtual Machine. Due to its functional and modular design TrueLicense scales from simple to complex licensing schemas. TrueLicense features various interfaces for managing free trial periods, subscriptions, multiple editions, internationalization, privacy protection and more.

Group: net.truelicense Artifact: truelicense
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Artifact truelicense
Group net.truelicense
Version 3.2.0
Last update 28. February 2018
Organization not specified
URL http://truelicense.net/
License GNU AFFERO GENERAL PUBLIC LICENSE, Version 3, 19 November 2007
Dependencies amount 0
Dependencies No dependencies
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XMeans from group nz.ac.waikato.cms.weka (version 1.0.6)

Cluster data using the X-means algorithm. X-Means is K-Means extended by an Improve-Structure part In this part of the algorithm the centers are attempted to be split in its region. The decision between the children of each center and itself is done comparing the BIC-values of the two structures. For more information see: Dan Pelleg, Andrew W. Moore: X-means: Extending K-means with Efficient Estimation of the Number of Clusters. In: Seventeenth International Conference on Machine Learning, 727-734, 2000.

Group: nz.ac.waikato.cms.weka Artifact: XMeans
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Artifact XMeans
Group nz.ac.waikato.cms.weka
Version 1.0.6
Last update 28. February 2018
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/XMeans
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
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extraTrees from group nz.ac.waikato.cms.weka (version 1.0.2)

Package for generating a single Extra-Tree. Use with the RandomCommittee meta classifier to generate an Extra-Trees forest for classification or regression. This classifier requires all predictors to be numeric. Missing values are not allowed. Instance weights are taken into account. For more information, see Pierre Geurts, Damien Ernst, Louis Wehenkel (2006). Extremely randomized trees. Machine Learning. 63(1):3-42.

Group: nz.ac.waikato.cms.weka Artifact: extraTrees
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Artifact extraTrees
Group nz.ac.waikato.cms.weka
Version 1.0.2
Last update 03. December 2017
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/extraTrees
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
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truelicense from group net.java.truelicense (version 2.6.6)

Group: net.java.truelicense Artifact: truelicense
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Artifact truelicense
Group net.java.truelicense
Version 2.6.6
Last update 29. September 2017
Organization not specified
URL http://truelicense.net/
License GNU AFFERO GENERAL PUBLIC LICENSE, Version 3, 19 November 2007
Dependencies amount 0
Dependencies No dependencies
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ensemblesOfNestedDichotomies from group nz.ac.waikato.cms.weka (version 1.0.6)

A meta classifier for handling multi-class datasets with 2-class classifiers by building an ensemble of nested dichotomies. For more info, check Lin Dong, Eibe Frank, Stefan Kramer: Ensembles of Balanced Nested Dichotomies for Multi-class Problems. In: PKDD, 84-95, 2005. Eibe Frank, Stefan Kramer: Ensembles of nested dichotomies for multi-class problems. In: Twenty-first International Conference on Machine Learning, 2004.

Group: nz.ac.waikato.cms.weka Artifact: ensemblesOfNestedDichotomies
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Artifact ensemblesOfNestedDichotomies
Group nz.ac.waikato.cms.weka
Version 1.0.6
Last update 21. February 2017
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/ensemblesOfNestedDichotomies
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
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teachingbox-core from group org.sf.teachingbox (version 1.2.3)

The Teachingbox uses advanced machine learning techniques to relieve developers from the programming of hand-crafted sophisticated behaviors of autonomous agents (such as robots, game players etc...) In the current status we have implemented a well founded reinforcement learning core in Java with many popular usecases, environments, policies and learners.

Group: org.sf.teachingbox Artifact: teachingbox-core
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Artifact teachingbox-core
Group org.sf.teachingbox
Version 1.2.3
Last update 08. November 2016
Organization TeachingBox
URL http://sourceforge.net/projects/teachingbox/
License GNU General Public License, Version 3
Dependencies amount 14
Dependencies guava, jfreechart, surfaceplotter, log4j, commons-lang3, commons-math3, colt, junit, thrift, concurrent, encog-core, weka-stable, nrjavaserial, redstone,
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attributeSelectionSearchMethods from group nz.ac.waikato.cms.weka (version 1.0.7)

This package provides four search methods for attribute selection: ExhaustiveSearch, GeneticSearch, RandomSearch and RankSearch. See: David E. Goldberg (1989). Genetic algorithms in search, optimization and machine learning. Addison-Wesley. Mark Hall, Geoffrey Holmes (2003). Benchmarking attribute selection techniques for discrete class data mining. IEEE Transactions on Knowledge and Data Engineering. 15(6):1437-1447.

Group: nz.ac.waikato.cms.weka Artifact: attributeSelectionSearchMethods
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Artifact attributeSelectionSearchMethods
Group nz.ac.waikato.cms.weka
Version 1.0.7
Last update 27. April 2014
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/attributeSelectionSearchMethods
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!

alternatingDecisionTrees from group nz.ac.waikato.cms.weka (version 1.0.5)

Binary-class and multi-class alternating decision trees. For more information see: Freund, Y., Mason, L.: The alternating decision tree learning algorithm. In: Proceeding of the Sixteenth International Conference on Machine Learning, Bled, Slovenia, 124-133, 1999. Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Eibe Frank, Mark Hall: Multiclass alternating decision trees. In: ECML, 161-172, 2001.

Group: nz.ac.waikato.cms.weka Artifact: alternatingDecisionTrees
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2 downloads

Artifact alternatingDecisionTrees
Group nz.ac.waikato.cms.weka
Version 1.0.5
Last update 27. April 2014
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/alternatingDecisionTrees
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!

javaanpr from group net.sf.javaanpr (version 1.2.7)

JavaANPR is an automatic number plate recognition software, which implements algorithmic and mathematical principles from field of artificial intelligence, machine vision and neural networks. It was created by Ondrej Martinsky in 2006 and 2007 as part of the research plan "Security-oriented research in information technology, MSM 0021630528" at Brno University of Technology.

Group: net.sf.javaanpr Artifact: javaanpr
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17 downloads

Artifact javaanpr
Group net.sf.javaanpr
Version 1.2.7
Last update 28. January 2014
Organization not specified
URL https://www.ohloh.net/p/javaanpr
License Educational Community License, Version 2.0
Dependencies amount 1
Dependencies swing-layout,
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