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Feature Selection Based on Modified Bat Algorithm

Published:2017 Issue:8 Volume:E100.D Page:1860-1869
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

YANG Bin¹,LU Yuliang¹,ZHU Kailong¹,YANG Guozheng¹,LIU Jingwei²,YIN Haibo¹

Affiliation:

1. Electronic Engineering Institute

2. China Electronic System Engineering Company

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E100.D/8/E100.D_2016EDP7471/_pdf

Reference31 articles.

1. [1] G. Madelin, F. Poidevin, A. Makrymallis, and R.R. Regatte, “Classification of sodium MRI data of cartilage using machine learning,” Magnetic resonance in medicine, vol.74, no.5, pp.1435-1448, 2015. 10.1002/mrm.25515

2. [2] S. Lou, D.H.W. Li, J.C. Lam, and W.W.H. Chan, “Prediction of diffuse solar irradiance using machine learning and multivariable regression,” Applied Energy, vol.181, pp.367-374, 2016. 10.1016/j.apenergy.2016.08.093

3. [3] S. Tabakhi and P. Moradi, “Relevance-redundancy feature selection based on ant colony optimization,” Pattern Recognition, vol.48, no.9, pp.2798-2811, 2015. 10.1016/j.patcog.2015.03.020

4. [4] L. Zini, N. Noceti, G. Fusco, and F. Odone, “Structured multi-class feature selection with an application to face recognition,” Pattern Recognition Letters, vol.55, pp.35-41, 2015. 10.1016/j.patrec.2014.07.004

5. [5] M. Bennamoun, Y. Guo, and F. Sohel, “Feature selection for 2D and 3D face recognition,” Wiley Encyclopedia of Electrical and Electronics Engineering, 2015.

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