A discrete bacterial algorithm for feature selection in classification of microarray gene expression cancer data-Reference-Cited by-同舟云学术

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A discrete bacterial algorithm for feature selection in classification of microarray gene expression cancer data

Published:2017-06 Issue: Volume:126 Page:8-19
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Wang Hong,Jing Xingjian,Niu Ben

Funder

CAST

NSFC

Department General Research

Hong Kong Polytechnic University

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference33 articles.

1. Selecting feature subset with sparsity and low redundancy for unsupervised learning;Han;Knowl.Based Syst.,2015

2. A multi-level approach using genetic algorithms in an ensemble of Least Squares Support Vector Machines;Padilhaa;Knowl.Based Syst.,2016

3. Particle swarm optimization for feature selection in classification: A multi-objective approach;Xue;IEEE Trans. Cybern.,2013

4. Biomimicry of bacterial foraging for distributed optimization and control;Passino;IEEE Control Syst. Mag.,2002

5. Optimization based on bacterial chemotaxis;Muller;IEEE Trans. Evol. Comput.,2002

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