Description: FASBIR(Filtered Attribute Subspace based Bagging with Injected Randomness) is a variant

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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.

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• Description: FASBIR(Filtered Attribute Subspace based Bagging with Injected Randomness) is a variant
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