Feature Selection with Mutual Information for Regression Problems

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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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Bibliographic Details
Main Authors:	Muhammad Aliyu, Sulaiman, Jane, Labadin
Format:	Proceeding
Language:	English
Published:	2015
Subjects:	T Technology (General)
Online Access:	http://ir.unimas.my/id/eprint/13447/ http://ir.unimas.my/id/eprint/13447/1/Feature%20Selection%20with%20Mutual%20Information%20%28abstract%29.pdf

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