Feature selection using a set based discrete particle swarm optimization and a novel feature subset evaluation criterion
Author:
Affiliation:
1. School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu 210003, China
2. National Computer Network Emergency Response Technical Team, Coordination Center of China, Beijing 100029, China
Publisher
IOS Press
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Theoretical Computer Science
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4. D. Lin and X. Tang, Conditional infomax learning: An integrated framework for feature extraction and fusion, in: Proc. 9th Eur. Conf. Comput. Vis., 2006, pp. 68–82.
5. Distance-based feature selection on classification of uncertain objects;Xu;Adv Artif Intell LNCS,2011
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