Genetic Algorithm for the Mutual Information-Based Feature Selection in Univariate Time Series Data

Genetic Algorithm for the Mutual Information-Based Feature Selection in Univariate Time Series Data

Filters are the fastest among the different types of feature selection methods. They employ metrics from information theory, such as mutual information (MI), Joint-MI (JMI), and minimal redundancy and maximal relevance (mRMR). The determination of the optimal feature selection set is an NP-hard prob...

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Bibliographic Details
Main Authors:	Umair F. Siddiqi, Sadiq M. Sait, Okyay Kaynak
Format:	Article
Language:	English
Published:	IEEE 2020-01-01
Series:	IEEE Access
Subjects:	Feature selection genetic algorithm machine learning deep learning optimization methods forecasting
Online Access:	https://ieeexplore.ieee.org/document/8952613/

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