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    BMCBI
    2007
    82views more  BMCBI 2007»
    Glycosylation site prediction using ensembles of Support Vector Machine classifiers
    14 years 9 months ago
    Glycosylation site prediction using ensembles of Support Vector Machine classifiers
    Download  www.cs.iastate.edu
    Cornelia Caragea, Jivko Sinapov, Adrian Silvescu, ...
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    COLT
    2006
    Springer
    235views Machine Learning» more  COLT 2006»
    Learning Bounds for Support Vector Machines with Learned Kernels
    15 years 1 months ago
    Learning Bounds for Support Vector Machines with Learned Kernels
    Download  www.cs.nyu.edu
    Nathan Srebro, Shai Ben-David
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    98
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    ACML
    2009
    Springer
    326views Machine Learning» more  ACML 2009»
    A Reformulation of Support Vector Machines for General Confidence Functions
    15 years 4 months ago
    A Reformulation of Support Vector Machines for General Confidence Functions
    Download  webdocs.cs.ualberta.ca
    Yuhong Guo, Dale Schuurmans
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    MCS
    2005
    Springer
    160views Pattern Recognition» more  MCS 2005»
    Ensemble of SVMs for Incremental Learning
    15 years 3 months ago
    Ensemble of SVMs for Incremental Learning
    Download  users.rowan.edu
    Support Vector Machines (SVMs) have been successfully applied to solve a large number of classification and regression problems. However, SVMs suffer from the catastrophic forgetti...
    Zeki Erdem, Robi Polikar, Fikret S. Gürgen, N...
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    97
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    ANNPR
    2006
    Springer
    197views Neural Networks» more  ANNPR 2006»
    Fast Training of Linear Programming Support Vector Machines Using Decomposition Techniques
    15 years 1 months ago
    Fast Training of Linear Programming Support Vector Machines Using Decomposition Techniques
    Download  www.lib.kobe-u.ac.jp
    Abstract. Decomposition techniques are used to speed up training support vector machines but for linear programming support vector machines (LP-SVMs) direct implementation of decom...
    Yusuke Torii, Shigeo Abe
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