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Zhurnal Vychislitel'noi Matematiki i Matematicheskoi Fiziki, 2008, Volume 48, Number 7, Pages 1318–1336 (Mi zvmmf4569)  

This article is cited in 4 scientific papers (total in 4 papers)

Feature selection algorithm in classification learning using support vector machines

Yu. V. Goncharova, I. B. Muchnikb, L. V. Shvartserc

a Dorodnicyn Computing Center, Russian Academy of Sciences, ul. Vavilova 40, Moscow, 119333, Russia
b Rutgers University, New Brunswick, New Jersey 09903, USA
c Ness Technologies, Atidim, P.O.B. 58152, Tel-Aviv, 61581, Israel
References:
Abstract: An algorithm for selecting features in the classification learning problem is considered. The algorithm is based on a modification of the standard criterion used in the support vector machine method. The new criterion adds to the standard criterion a penalty function that depends on the selected features. The solution of the problem is reduced to finding the minimax of a convex-concave function. As a result, the initial set of features is decomposed into three classes – unconditionally selected, weighted selected, and eliminated features.
Key words: feature selection algorithm, classification learning, support vector machine, saddle point searching algorithm.
Received: 15.02.2007
Revised: 25.10.2007
English version:
Computational Mathematics and Mathematical Physics, 2008, Volume 48, Issue 7, Pages 1243–1260
DOI: https://doi.org/10.1134/S0965542508070154
Bibliographic databases:
Document Type: Article
UDC: 519.712
Language: Russian
Citation: Yu. V. Goncharov, I. B. Muchnik, L. V. Shvartser, “Feature selection algorithm in classification learning using support vector machines”, Zh. Vychisl. Mat. Mat. Fiz., 48:7 (2008), 1318–1336; Comput. Math. Math. Phys., 48:7 (2008), 1243–1260
Citation in format AMSBIB
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\paper Feature selection algorithm in classification learning using support vector machines
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\vol 48
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\pages 1318--1336
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\vol 48
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\pages 1243--1260
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  • This publication is cited in the following 4 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
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