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Combining MLC and SVM Classifiers for Learning Based Decision Making: Analysis and Evaluations
Joint Authors
Zhang, Yi
Ren, Jinchang
Jiang, Jianmin
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-21
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Maximum likelihood classifier (MLC) and support vector machines (SVM) are two commonly used approaches in machine learning.
MLC is based on Bayesian theory in estimating parameters of a probabilistic model, whilst SVM is an optimization based nonparametric method in this context.
Recently, it is found that SVM in some cases is equivalent to MLC in probabilistically modeling the learning process.
In this paper, MLC and SVM are combined in learning and classification, which helps to yield probabilistic output for SVM and facilitate soft decision making.
In total four groups of data are used for evaluations, covering sonar, vehicle, breast cancer, and DNA sequences.
The data samples are characterized in terms of Gaussian/non-Gaussian distributed and balanced/unbalanced samples which are then further used for performance assessment in comparing the SVM and the combined SVM-MLC classifier.
Interesting results are reported to indicate how the combined classifier may work under various conditions.
American Psychological Association (APA)
Zhang, Yi& Ren, Jinchang& Jiang, Jianmin. 2015. Combining MLC and SVM Classifiers for Learning Based Decision Making: Analysis and Evaluations. Computational Intelligence and Neuroscience،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1057697
Modern Language Association (MLA)
Zhang, Yi…[et al.]. Combining MLC and SVM Classifiers for Learning Based Decision Making: Analysis and Evaluations. Computational Intelligence and Neuroscience No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1057697
American Medical Association (AMA)
Zhang, Yi& Ren, Jinchang& Jiang, Jianmin. Combining MLC and SVM Classifiers for Learning Based Decision Making: Analysis and Evaluations. Computational Intelligence and Neuroscience. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1057697
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057697