Accession number:20094612446813
Title: Combined multiple SVM classifiers based on choquet integral with respect to L- measure
Authors: Lin, Wen-Chih (1); Huang, Chih-Sheng (2); Huang, Wen- Chun (2)
Author affiliation:(1) Department of Computer Science and Information Engineering, Asia University, Taichung, Taiwan; (2) Graduate School of Educational Measurement and Statistics, National Taichung University, Taichung, Taiwan
Corresponding author:Lin, W.-C.
Source title: Proceedings of the 2009 International Conference on Machine Learning and Cybernetics
Abbreviated source title:Proc. Int. Conf. Mach. Learn. Cybern.
Volume:6
Monograph title:Proceedings of the 2009 International Conference on Machine Learning and Cybernetics
Issue date:2009
Publication year:2009 Pages:3188-3193
Article number:5212805 Language:English
ISBN-13:9781424437030
Document type:Conference article (CA)
Conference name:2009 International Conference on Machine Learning and Cybernetics
Conference date:July 12, 2009 - July 15, 2009 Conference location:Baoding, China
Conference code:78063
Publisher:IEEE Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States
Abstract:Combining multiple classifiers is a natural way to explore useful information and improve the performances of individual classifiers. Support vector machine (SVM) has an excellent ability to solve the classification problems. In this study, we try to combine the multiple SVMs which is desirous to gain a more accurate
classification than single SVM. When interactions exist in combining
multiple SVMs, fuzzy integral with respect to L-measure would be a valid method to fuse these multiple SVMs. From this experiment results, the fusion method based on this fuzzy fusion obtains
advancement in terms of the performance of classification. ©
2009 IEEE.
Number of references:12
Main heading:Support vector machines
Controlled terms: Classifiers - Control theory - Cybernetics - Integral equations - Multilayer neural networks - Robot learning
Uncontrolled terms: Choquet integral - Fusion methods - Fuzzy fusion - Fuzzy integral - Individual classifiers - L-measure - Multiple classifiers - SVM - SVM classifiers
Classification code:802.1 Chemical Plants and Equipment - 731.5 Robotics - 731.1 Control Systems - 921.2 Calculus - 723.4 Artificial Intelligence - 461.9 Biology - 461.1 Biomedical Engineering - 723 Computer Software, Data Handling and Applications
DOI:10.1109/ICMLC.2009.5212805 Database:Compendex
Compilation and indexing terms, Copyright 2009 Elsevier Inc.
