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    ESANN
    2000
    177views Neural Networks» more  ESANN 2000»
    Algorithmic approaches to training Support Vector Machines: a survey
    13 years 6 months ago
    Algorithmic approaches to training Support Vector Machines: a survey
    Download  www.iipl.fudan.edu.cn
    : Support Vector Machines (SVMs) have become an increasingly popular tool for machine learning tasks involving classi cation, regression or novelty detection. They exhibit good gen...
    Colin Campbell
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    ICANN
    2005
    Springer
    235views Neural Networks» more  ICANN 2005»
    Training of Support Vector Machines with Mahalanobis Kernels
    13 years 11 months ago
    Training of Support Vector Machines with Mahalanobis Kernels
    Download  www.lib.kobe-u.ac.jp
    Abstract. Radial basis function (RBF) kernels are widely used for support vector machines. But for model selection, we need to optimize the kernel parameter and the margin paramete...
    Shigeo Abe
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    ICCS
    2007
    Springer
    274views Applied Computing» more  ICCS 2007»
    Active Learning with Support Vector Machines for Tornado Prediction
    13 years 11 months ago
    Active Learning with Support Vector Machines for Tornado Prediction
    Download  www.dddas.org
    In this paper, active learning with support vector machines (SVMs) is applied to the problem of tornado prediction. This method is used to predict which storm-scale circulations yi...
    Theodore B. Trafalis, Indra Adrianto, Michael B. R...
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    BMCBI
    2010
    159views more  BMCBI 2010»
    Predicting domain-domain interaction based on domain profiles with feature selection and support vector machines
    13 years 5 months ago
    Predicting domain-domain interaction based on domain profiles with feature selection and support vector machines
    Download  www.biomedcentral.com
    Background: Protein-protein interaction (PPI) plays essential roles in cellular functions. The cost, time and other limitations associated with the current experimental methods ha...
    Alvaro J. González, Li Liao
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    CSDA
    2010
    133views more  CSDA 2010»
    Optimized fixed-size kernel models for large data sets
    13 years 2 months ago
    Optimized fixed-size kernel models for large data sets
    Download  ftp.esat.kuleuven.ac.be
    A modified active subset selection method based on quadratic R
    Kris De Brabanter, Jos De Brabanter, Johan A. K. S...
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