Monte Carlo Tree Search-Based Recursive Algorithm for Feature Selection in High-Dimensional Datasets

The complexity and high dimensionality are the inherent concerns of big data. The role of feature selection has gained prime importance to cope with the issue by reducing dimensionality of datasets. The compromise between the maximum classification accuracy and the minimum dimensions is as yet an un...

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Bibliographic Details
Main Authors: Muhammad Umar Chaudhry, Muhammad Yasir, Muhammad Nabeel Asghar, Jee-Hyong Lee
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/22/10/1093