An Evolutionary Multitasking Algorithm With Multiple Filtering for High-Dimensional Feature Selection
Author:
Affiliation:
1. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China
2. School of Informatics, Xiamen University, Xiamen, China
3. Department of Computing, The Hong Kong Polytechnic University, Hong Kong, SAR
Funder
National Natural Science Foundation of China
Research Grants Council of the Hong Kong
Hong Kong Polytechnic University under Project
Guangdong Regional Joint Foundation Key Project
Shenzhen Science and Technology Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computational Theory and Mathematics,Theoretical Computer Science,Software
Link
http://xplorestaging.ieee.org/ielx7/4235/10198499/10064013.pdf?arnumber=10064013
Reference60 articles.
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4. An adaption of Relief for attribute estimation in regression;robnik-sikonjia;Proc Int Conf Mach Learn,1997
5. A New Representation in PSO for Discretization-Based Feature Selection
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