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

The Fuzzy Lattice Reasoning Classifier uses the notion of Fuzzy Lattices for creating a Reasoning Environment. The current version can be used for classification using numeric predictors. For more information see: I. N. Athanasiadis, V. G. Kaburlasos, P. A. Mitkas, V. Petridis: Applying Machine Learning Techniques on Air Quality Data for Real-Time Decision Support. In: 1st Intl. NAISO Symposium on Information Technologies in Environmental Engineering (ITEE-2003), Gdansk, Poland, 2003; V. G. Kaburlasos, I. N. Athanasiadis, P. A. Mitkas, V. Petridis (2003). Fuzzy Lattice Reasoning (FLR) Classifier and its Application on Improved Estimation of Ambient Ozone Concentration.

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

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

Feature selection method based on correlation measureand relevance and redundancy analysis. Use in conjunction with an attribute set evaluator (SymmetricalUncertAttributeEval). For more information see: Lei Yu, Huan Liu: Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution. In: Proceedings of the Twentieth International Conference on Machine Learning, 856-863, 2003.

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

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

Manages a libary of ensemble classifiers

Group: nz.ac.waikato.cms.weka Artifact: ensembleLibrary
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Artifact ensembleLibrary
Group nz.ac.waikato.cms.weka
Version 1.0.4
Last update 26. April 2012
Newest version Yes
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/ensembleLibrary
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!

decorate from group nz.ac.waikato.cms.weka (version 1.0.3)

DECORATE is a meta-learner for building diverse ensembles of classifiers by using specially constructed artificial training examples. Comprehensive experiments have demonstrated that this technique is consistently more accurate than the base classifier, Bagging and Random Forests. Decorate also obtains higher accuracy than Boosting on small training sets, and achieves comparable performance on larger training sets. For more details see: P. Melville, R. J. Mooney: Constructing Diverse Classifier Ensembles Using Artificial Training Examples. In: Eighteenth International Joint Conference on Artificial Intelligence, 505-510, 2003; P. Melville, R. J. Mooney (2004). Creating Diversity in Ensembles Using Artificial Data. Information Fusion: Special Issue on Diversity in Multiclassifier Systems.

Group: nz.ac.waikato.cms.weka Artifact: decorate
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Artifact decorate
Group nz.ac.waikato.cms.weka
Version 1.0.3
Last update 26. April 2012
Newest version Yes
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/decorate
License GNU General Public License 3
Dependencies amount 1
Dependencies 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
Newest version Yes
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!

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

Nearest-neighbor-like algorithm using non-nested generalized exemplars (which are hyperrectangles that can be viewed as if-then rules). For more information, see Brent Martin (1995). Instance-Based learning: Nearest Neighbor With Generalization. Hamilton, New Zealand. Sylvain Roy (2002). Nearest Neighbor With Generalization. Christchurch, New Zealand.

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

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

Replaces missing numeric values using Expectation Maximization with a multivariate normal model. Described in " Schafer, J.L. Analysis of Incomplete Multivariate Data, New York: Chapman and Hall, 1997."

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

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

Class for building and using a Discriminative Multinomial Naive Bayes classifier. For more information see: Jiang Su,Harry Zhang,Charles X. Ling,Stan Matwin: Discriminative Parameter Learning for Bayesian Networks. In: ICML 2008', 2008.

Group: nz.ac.waikato.cms.weka Artifact: DMNBtext
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Artifact DMNBtext
Group nz.ac.waikato.cms.weka
Version 1.0.2
Last update 26. April 2012
Newest version Yes
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/DMNBtext
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
Newest version Yes
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!

scalatest_2.9.1-1-RC1 from group org.scalatest (version 1.7.1)

ScalaTest is a free, open-source testing toolkit for Scala and Java programmers.

Group: org.scalatest Artifact: scalatest_2.9.1-1-RC1
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Artifact scalatest_2.9.1-1-RC1
Group org.scalatest
Version 1.7.1
Last update 29. February 2012
Newest version Yes
Organization not specified
URL http://www.scalatest.org
License the Apache License, ASL Version 2.0
Dependencies amount 1
Dependencies scala-library,
There are maybe transitive dependencies!



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