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    ESWA
    2007
    146views more  ESWA 2007»
    A real-valued genetic algorithm to optimize the parameters of support vector machine for predicting bankruptcy
    14 years 9 months ago
    A real-valued genetic algorithm to optimize the parameters of support vector machine for predicting bankruptcy
    Download  mcdm.ntcu.edu.tw
    Two parameters, C and r, must be carefully predetermined in establishing an efficient support vector machine (SVM) model. Therefore, the purpose of this study is to develop a gene...
    Chih-Hung Wu, Gwo-Hshiung Tzeng, Yeong-Jia Goo, We...
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    PR
    2007
    104views more  PR 2007»
    Optimizing resources in model selection for support vector machine
    14 years 9 months ago
    Optimizing resources in model selection for support vector machine
    Download  www.livia.etsmtl.ca
    Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
    Mathias M. Adankon, Mohamed Cheriet
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    WADS
    2001
    Springer
    80views Algorithms» more  WADS 2001»
    Optimization over Zonotopes and Training Support Vector Machines
    15 years 1 months ago
    Optimization over Zonotopes and Training Support Vector Machines
    Download  www.ics.uci.edu
    Marshall W. Bern, David Eppstein
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    IJCNN
    2000
    IEEE
    107views Neural Networks» more  IJCNN 2000»
    Optimization on Support Vector Machines
    15 years 1 months ago
    Optimization on Support Vector Machines
    Download  dtim.mis.hfu.edu.tw
    João Pedro Pedroso, Noboru Murata
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    GECCO
    2005
    Springer
    126views Optimization» more  GECCO 2005»
    Combating user fatigue in iGAs: partial ordering, support vector machines, and synthetic fitness
    15 years 3 months ago
    Combating user fatigue in iGAs: partial ordering, support vector machines, and synthetic fitness
    Download  www.illigal.uiuc.edu
    Xavier Llorà, Kumara Sastry, David E. Goldb...
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