Introduction - If you have any usage issues, please Google them yourself
Description: FASBIR(Filtered Attribute Subspace based Bagging with Injected Randomness) is a variant of Bagging algorithm, whose purpose is to improve accuracy of local learners, such as kNN, through multi-model perturbing ensemble. Reference: Z.-H. Zhou and Y. Yu. Ensembling local learners through multimodal perturbation. IEEE Transactions on Systems, Man, and Cybernetics- Part B: Cybernetics, 2005, vol.35, no.4, pp.725-735
Packet : 39709588fasbir.rar filelist
FASBIR\documents\allclasses-frame.html
FASBIR\documents\allclasses-noframe.html
FASBIR\documents\constant-values.html
FASBIR\documents\deprecated-list.html
FASBIR\documents\fasbir\class-use\FASBIR.html
FASBIR\documents\fasbir\class-use
FASBIR\documents\fasbir\classifiers\class-use\KNearestNeighbor.html
FASBIR\documents\fasbir\classifiers\class-use\KNearestNeighbor.KNNSample.html
FASBIR\documents\fasbir\classifiers\class-use\KNearestNeighbor.SampleComparator.html
FASBIR\documents\fasbir\classifiers\class-use\KNearestNeighbor_Extend.html
FASBIR\documents\fasbir\classifiers\class-use
FASBIR\documents\fasbir\classifiers\KNearestNeighbor.html
FASBIR\documents\fasbir\classifiers\KNearestNeighbor.KNNSample.html
FASBIR\documents\fasbir\classifiers\KNearestNeighbor.SampleComparator.html
FASBIR\documents\fasbir\classifiers\KNearestNeighbor_Extend.html
FASBIR\documents\fasbir\classifiers\package-frame.html
FASBIR\documents\fasbir\classifiers\package-summary.html
FASBIR\documents\fasbir\classifiers\package-tree.html
FASBIR\documents\fasbir\classifiers\package-use.html
FASBIR\documents\fasbir\classifiers
FASBIR\documents\fasbir\ensemblers\class-use\Ensemble.html
FASBIR\documents\fasbir\ensemblers\class-use\EnsembleClassifier.html
FASBIR\documents\fasbir\ensemblers\class-use\FilterAttributeEnsemble.html
FASBIR\documents\fasbir\ensemblers\class-use\SBagging.html
FASBIR\documents\fasbir\ensemblers\class-use
FASBIR\documents\fasbir\ensemblers\Ensemble.html
FASBIR\documents\fasbir\ensemblers\EnsembleClassifier.html
FASBIR\documents\fasbir\ensemblers\FilterAttributeEnsemble.html
FASBIR\documents\fasbir\ensemblers\package-frame.html
FASBIR\documents\fasbir\ensemblers\package-summary.html
FASBIR\documents\fasbir\ensemblers\package-tree.html
FASBIR\documents\fasbir\ensemblers\package-use.html
FASBIR\documents\fasbir\ensemblers\PerturbationEncapsulation.html
FASBIR\documents\fasbir\ensemblers\Perturbation_Bootstrap.html
FASBIR\documents\fasbir\ensemblers\Perturbation_Subspace.html
FASBIR\documents\fasbir\ensemblers\SBagging.html
FASBIR\documents\fasbir\ensemblers
FASBIR\documents\fasbir\FASBIR.html
FASBIR\documents\fasbir\package-frame.html
FASBIR\documents\fasbir\package-summary.html
FASBIR\documents\fasbir\package-tree.html
FASBIR\documents\fasbir\package-use.html
FASBIR\documents\fasbir
FASBIR\documents\help-doc.html
FASBIR\documents\index-all.html
FASBIR\documents\index.html
FASBIR\documents\overview-frame.html
FASBIR\documents\overview-summary.html
FASBIR\documents\overview-tree.html
FASBIR\documents\package-list
FASBIR\documents\packages.html
FASBIR\documents\Readme.htm
FASBIR\documents\resources\inherit.gif
FASBIR\documents\resources
FASBIR\documents\serialized-form.html
FASBIR\documents\stylesheet.css
FASBIR\documents\weka\classifiers\Evaluation.html
FASBIR\documents\weka\classifiers
FASBIR\documents\weka
FASBIR\documents
FASBIR\Readme.htm
FASBIR\src\fasbir\classifiers\KNearestNeighbor.java
FASBIR\src\fasbir\classifiers\KNearestNeighbor_Extend.java
FASBIR\src\fasbir\classifiers
FASBIR\src\fasbir\ensemblers\Ensemble.java
FASBIR\src\fasbir\ensemblers\EnsembleClassifier.java
FASBIR\src\fasbir\ensemblers\FilterAttributeEnsemble.java
FASBIR\src\fasbir\ensemblers\PerturbationEncapsulation.java
FASBIR\src\fasbir\ensemblers\Perturbation_Bootstrap.java
FASBIR\src\fasbir\ensemblers\Perturbation_Subspace.java
FASBIR\src\fasbir\ensemblers
FASBIR\src\fasbir\FASBIR.java
FASBIR\src\fasbir
FASBIR\src
FASBIR
FASBIR.txt