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Feature Selection with Mutual Information for Regression Problems

Selecting relevant features for machine learning modeling improves the performance of the learning methods. Mutual information (MI) is known to be used as relevant criterion for selecting feature subsets from input dataset with a nonlinear relationship to the predicting attribute. However, mutu...

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書誌詳細
主要な著者:	Muhammad Aliyu, Sulaiman, Jane, Labadin
フォーマット:	Conference or Workshop Item
言語:	English
出版事項:	2015
主題:	T Technology (General)
オンライン･アクセス:	http://ir.unimas.my/id/eprint/13447/1/Feature%20Selection%20with%20Mutual%20Information%20%28abstract%29.pdf http://ir.unimas.my/id/eprint/13447/
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