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    PARCO
    2003
    120views Distributed And Parallel Com...» more  PARCO 2003»
    Parallel Decomposition Approaches for Training Support Vector Machines
    13 years 6 months ago
    Parallel Decomposition Approaches for Training Support Vector Machines
    Download  eprints.pascal-network.org
    Thomas Serafini, Gaetano Zanghirati, Luca Zanni
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    PVM
    2005
    Springer
    142views Distributed And Parallel Com...» more  PVM 2005»
    Some Improvements to a Parallel Decomposition Technique for Training Support Vector Machines
    13 years 10 months ago
    Some Improvements to a Parallel Decomposition Technique for Training Support Vector Machines
    Download  eprints.pascal-network.org
    We consider a parallel decomposition technique for solving the large quadratic programs arising in training the learning methodology Support Vector Machine. At each iteration of th...
    Thomas Serafini, Luca Zanni, Gaetano Zanghirati
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    JMLR
    2006
    105views more  JMLR 2006»
    Parallel Software for Training Large Scale Support Vector Machines on Multiprocessor Systems
    13 years 4 months ago
    Parallel Software for Training Large Scale Support Vector Machines on Multiprocessor Systems
    Download  eprints.pascal-network.org
    Parallel software for solving the quadratic program arising in training support vector machines for classification problems is introduced. The software implements an iterative dec...
    Luca Zanni, Thomas Serafini, Gaetano Zanghirati
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    BMCBI
    2006
    158views more  BMCBI 2006»
    Parallelization of multicategory support vector machines (PMC-SVM) for classifying microarray data
    13 years 4 months ago
    Parallelization of multicategory support vector machines (PMC-SVM) for classifying microarray data
    Download  www.biomedcentral.com
    Background: Multicategory Support Vector Machines (MC-SVM) are powerful classification systems with excellent performance in a variety of data classification problems. Since the p...
    Chaoyang Zhang, Peng Li, Arun Rajendran, Youping D...
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    ANNPR
    2006
    Springer
    197views Neural Networks» more  ANNPR 2006»
    Fast Training of Linear Programming Support Vector Machines Using Decomposition Techniques
    13 years 8 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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