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Content Provider | IEEE Xplore Digital Library |
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Author | Castro, P.A.D. Von Zuben, F.J. |
Copyright Year | 2008 |
Description | Author affiliation: Lab. of Bioinf. & Bioinspired Comput. - LBiC, Campinas Univ., Campinas (Castro, P.A.D.; Von Zuben, F.J.) |
Abstract | This paper proposes the application of a novel bio-inspired algorithm as a search engine to the feature subset selection problem. We may interpret our algorithm as an estimation of distribution algorithm that adopts an artificial immune system to implement the search process in the space of all features and a Bayesian network to implement the probabilistic model of the promising solutions. The characteristics of the proposed algorithm are the capability of effectively identifying and manipulating building blocks, maintenance of diversity in the population, and automatic control of the population size. These properties allow the algorithm to perform a multimodal search, known to be of great relevance in feature selection problems. Experiments on five datasets were carried out in order to evaluate the proposed methodology in classification problems and its performance compares favorably to that produced by contenders. |
Starting Page | 561 |
Ending Page | 566 |
File Size | 195699 |
Page Count | 6 |
File Format | |
ISBN | 9780769533261 |
DOI | 10.1109/HIS.2008.11 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2008-09-10 |
Publisher Place | Spain |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Feature selection Bayesian methods Computational modeling Filtering algorithms Probabilistic logic Search problems Classification algorithms Bayesian network Immune system artificial immune system |
Content Type | Text |
Resource Type | Article |
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