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/

Internet

https://ieeexplore.ieee.org/document/8952613/

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