Download all versions of decorate JAR files with all 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.
Artifact decorate
Group nz.ac.waikato.cms.weka
Version 1.0.3
Last update 26. April 2012
Tags: technique using 2004 diverse constructed consistently 2003 higher specially more comprehensive sets fusion conference eighteenth intelligence constructing forests systems joint creating information classifiers achieves random international demonstrated comparable that bagging than examples artificial melville this small multiclassifier have issue data meta training accurate details experiments obtains performance mooney ensembles building decorate diversity learner larger boosting base classifier special accuracy also
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!
Group nz.ac.waikato.cms.weka
Version 1.0.3
Last update 26. April 2012
Tags: technique using 2004 diverse constructed consistently 2003 higher specially more comprehensive sets fusion conference eighteenth intelligence constructing forests systems joint creating information classifiers achieves random international demonstrated comparable that bagging than examples artificial melville this small multiclassifier have issue data meta training accurate details experiments obtains performance mooney ensembles building decorate diversity learner larger boosting base classifier special accuracy also
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!
decorate from group nz.ac.waikato.cms.weka (version 1.0.2)
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.
Artifact decorate
Group nz.ac.waikato.cms.weka
Version 1.0.2
Last update 24. April 2012
Tags: technique using 2004 diverse constructed consistently 2003 higher specially more comprehensive sets fusion conference eighteenth intelligence constructing forests systems joint creating information classifiers achieves random international demonstrated comparable that bagging than examples artificial melville this small multiclassifier have issue data meta training accurate details experiments obtains performance mooney ensembles building decorate diversity learner larger boosting base classifier special accuracy also
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!
Group nz.ac.waikato.cms.weka
Version 1.0.2
Last update 24. April 2012
Tags: technique using 2004 diverse constructed consistently 2003 higher specially more comprehensive sets fusion conference eighteenth intelligence constructing forests systems joint creating information classifiers achieves random international demonstrated comparable that bagging than examples artificial melville this small multiclassifier have issue data meta training accurate details experiments obtains performance mooney ensembles building decorate diversity learner larger boosting base classifier special accuracy also
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!
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