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    RSFDGRC
    2005
    Springer
    92views Data Mining» more  RSFDGRC 2005»
    Reducing the Storage Requirements of 1-v-1 Support Vector Machine Multi-classifiers
    15 years 6 months ago
    Reducing the Storage Requirements of 1-v-1 Support Vector Machine Multi-classifiers
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    Pawan Lingras, Cory J. Butz
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    59
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    SAC
    2004
    ACM
    89views Applied Computing» more  SAC 2004»
    Multidimensional support vector machines for visualization of gene expression data
    15 years 6 months ago
    Multidimensional support vector machines for visualization of gene expression data
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    Daisuke Komura, Hiroshi Nakamura, Shuichi Tsutsumi...
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    93
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    ECAI
    2004
    Springer
    140views Artificial Intelligence» more  ECAI 2004»
    A Generalized Quadratic Loss for Support Vector Machines
    15 years 6 months ago
    A Generalized Quadratic Loss for Support Vector Machines
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    The standard SVM formulation for binary classification is based on the Hinge loss function, where errors are considered not correlated. Due to this, local information in the featu...
    Filippo Portera, Alessandro Sperduti
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    76
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    PDCAT
    2004
    Springer
    89views Distributed And Parallel Com...» more  PDCAT 2004»
    Novel Impostors Detection in Keystroke Dynamics by Support Vector Machine
    15 years 6 months ago
    Novel Impostors Detection in Keystroke Dynamics by Support Vector Machine
    Download  www.cs.adelaide.edu.au
    Yingpeng Sang, Hong Shen, Pingzhi Fan
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    79
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    SGAI
    2004
    Springer
    101views Artificial Intelligence» more  SGAI 2004»
    Support Vector Machines of Interval-based Features for Time Series Classification
    15 years 6 months ago
    Support Vector Machines of Interval-based Features for Time Series Classification
    Download  pisuerga.inf.ubu.es
    Juan José Rodríguez, Carlos J. Alons...
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