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permutation-crossover-landscape-analysis from group org.cicirello (version 1.0.0)

This package contains Java code to reproduce the experiments of the following conference paper: Vincent A. Cicirello. 2023. A Survey and Analysis of Evolutionary Operators for Permutations. Proceedings of the 15th International Joint Conference on Computational Intelligence, pages 288-299. https://doi.org/10.5220/0012204900003595.

Group: org.cicirello Artifact: permutation-crossover-landscape-analysis
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Artifact permutation-crossover-landscape-analysis
Group org.cicirello
Version 1.0.0
Last update 29. November 2023
Organization Cicirello.org
URL https://github.com/cicirello/permutation-crossover-landscape-analysis
License GPL-3.0-or-later
Dependencies amount 1
Dependencies chips-n-salsa,
There are maybe transitive dependencies!

dualPerturbAndCombine from group nz.ac.waikato.cms.weka (version 1.0.0)

Class for building and using classification and regression trees based on the closed-form dual perturb and combine algorithm described in Pierre Geurts, Lous Wehenkel: Closed-form dual perturb and combine for tree-based models. In: Proceedings of the 22nd International Conference on Machine Learning, 233-240, 2005.

Group: nz.ac.waikato.cms.weka Artifact: dualPerturbAndCombine
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Artifact dualPerturbAndCombine
Group nz.ac.waikato.cms.weka
Version 1.0.0
Last update 03. August 2018
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/dualPerturbAndCombine
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!

isolationForest from group nz.ac.waikato.cms.weka (version 1.0.2)

Class for building and using a classifier built on the Isolation Forest anomaly detection algorithm. For more information see Fei Tony Liu, Kai Ming Ting and Zhi-Hua Zhou. 2008. Proceedings of the 2008 Eighth IEEE International Conference on Data Mining, pages 413-422.

Group: nz.ac.waikato.cms.weka Artifact: isolationForest
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Artifact isolationForest
Group nz.ac.waikato.cms.weka
Version 1.0.2
Last update 21. January 2016
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/isolationForest
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!

votingFeatureIntervals from group nz.ac.waikato.cms.weka (version 1.0.2)

Classification by voting feature intervals. Intervals are constucted around each class for each attribute (basically discretization). Class counts are recorded for each interval on each attribute. Classification is by voting. For more info see: G. Demiroz, A. Guvenir: Classification by voting feature intervals. In: 9th European Conference on Machine Learning, 85-92, 1997.

Group: nz.ac.waikato.cms.weka Artifact: votingFeatureIntervals
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Artifact votingFeatureIntervals
Group nz.ac.waikato.cms.weka
Version 1.0.2
Last update 26. April 2012
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/votingFeatureIntervals
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!

naiveBayesTree from group nz.ac.waikato.cms.weka (version 1.0.2)

Class for generating a decision tree with naive Bayes classifiers at the leaves. For more information, see Ron Kohavi: Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid. In: Second International Conference on Knoledge Discovery and Data Mining, 202-207, 1996.

Group: nz.ac.waikato.cms.weka Artifact: naiveBayesTree
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Artifact naiveBayesTree
Group nz.ac.waikato.cms.weka
Version 1.0.2
Last update 26. April 2012
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/naiveBayesTree
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!

grading from group nz.ac.waikato.cms.weka (version 1.0.2)

Implements Grading. The base classifiers are "graded". For more information, see A.K. Seewald, J. Fuernkranz: An Evaluation of Grading Classifiers. In: Advances in Intelligent Data Analysis: 4th International Conference, Berlin/Heidelberg/New York/Tokyo, 115-124, 2001.

Group: nz.ac.waikato.cms.weka Artifact: grading
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Artifact grading
Group nz.ac.waikato.cms.weka
Version 1.0.2
Last update 26. April 2012
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/grading
License GNU General Public License 3
Dependencies amount 2
Dependencies weka-dev, weka-dev,
There are maybe transitive dependencies!

citationKNN from group nz.ac.waikato.cms.weka (version 1.0.2)

Modified version of the Citation kNN multi instance classifier. For more information see: Jun Wang, Zucker, Jean-Daniel: Solving Multiple-Instance Problem: A Lazy Learning Approach. In: 17th International Conference on Machine Learning, 1119-1125, 2000.

Group: nz.ac.waikato.cms.weka Artifact: citationKNN
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Artifact citationKNN
Group nz.ac.waikato.cms.weka
Version 1.0.2
Last update 26. April 2012
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/citationKNN
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!

CLOPE from group nz.ac.waikato.cms.weka (version 1.0.2)

Yiling Yang, Xudong Guan, Jinyuan You: CLOPE: a fast and effective clustering algorithm for transactional data. In: Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining, 682-687, 2002.

Group: nz.ac.waikato.cms.weka Artifact: CLOPE
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Artifact CLOPE
Group nz.ac.waikato.cms.weka
Version 1.0.2
Last update 26. April 2012
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/CLOPE
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!

optics_dbScan from group nz.ac.waikato.cms.weka (version 1.0.6)

The OPTICS and DBScan clustering algorithms. Martin Ester, Hans-Peter Kriegel, Joerg Sander, Xiaowei Xu: A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise. In: Second International Conference on Knowledge Discovery and Data Mining, 226-231, 1996; Mihael Ankerst, Markus M. Breunig, Hans-Peter Kriegel, Joerg Sander: OPTICS: Ordering Points To Identify the Clustering Structure. In: ACM SIGMOD International Conference on Management of Data, 49-60, 1999.

Group: nz.ac.waikato.cms.weka Artifact: optics_dbScan
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Artifact optics_dbScan
Group nz.ac.waikato.cms.weka
Version 1.0.6
Last update 16. December 2019
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/optics_dbScan
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!

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,
There are maybe transitive dependencies!

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