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    ICTAI
    2003
    IEEE
    114views Artificial Intelligence» more  ICTAI 2003»
    Feature Selection for Support Vector Machines by Means of Genetic Algorithms
    13 years 10 months ago
    Feature Selection for Support Vector Machines by Means of Genetic Algorithms
    Download  www.dkfz.de
    Holger Fröhlich, Olivier Chapelle, Bernhard S...
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    BMCBI
    2010
    151views more  BMCBI 2010»
    Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and gene
    13 years 5 months ago
    Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and gene
    Download  www.biomedcentral.com
    Background: Because a priori knowledge about function of G protein-coupled receptors (GPCRs) can provide useful information to pharmaceutical research, the determination of their ...
    Zhanchao Li, Xuan Zhou, Zong Dai, Xiaoyong Zou
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    GECCO
    2008
    Springer
    232views Optimization» more  GECCO 2008»
    An efficient SVM-GA feature selection model for large healthcare databases
    13 years 6 months ago
    An efficient SVM-GA feature selection model for large healthcare databases
    Download  www.cs.bham.ac.uk
    This paper presents an efficient hybrid feature selection model based on Support Vector Machine (SVM) and Genetic Algorithm (GA) for large healthcare databases. Even though SVM an...
    Rick Chow, Wei Zhong, Michael Blackmon, Richard St...
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    IAJIT
    2008
    207views more  IAJIT 2008»
    Neural Networks and Support Vector Machines Classifiers for Writer Identification Using Arabic Script
    13 years 5 months ago
    Neural Networks and Support Vector Machines Classifiers for Writer Identification Using Arabic Script
    Download  www.ccis2k.org
    : In this paper, we present an approach for writer identification carried out using off-line Arabic handwriting. Our proposed method is based on the combination of global and struc...
    Sami Gazzah, Najoua Essoukri Ben Amara
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    ICPR
    2006
    IEEE
    178views computer vision» more  ICPR 2006»
    Feature selection for linear support vector machines
    14 years 6 months ago
    Feature selection for linear support vector machines
    Download  www.d.umn.edu
    Feature selection is attracted much interest from researchers in many fields such as pattern recognition and data mining. In this paper, a novel algorithm for feature selection is...
    Zhizheng Liang, Tuo Zhao
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