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    ICANN
    2005
    Springer
    102views Neural Networks» more  ICANN 2005»
    Gene Extraction for Cancer Diagnosis by Support Vector Machines
    15 years 8 months ago
    Gene Extraction for Cancer Diagnosis by Support Vector Machines
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    Te Ming Huang, Vojislav Kecman
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    MCS
    2005
    Springer
    161views Pattern Recognition» more  MCS 2005»
    Half-Against-Half Multi-class Support Vector Machines
    15 years 7 months ago
    Half-Against-Half Multi-class Support Vector Machines
    Download  blue.utb.edu
    A Half-Against-Half (HAH) multi-class SVM is proposed in this paper. Unlike the commonly used One-Against-All (OVA) and One-Against-One (OVO) implementation methods, HAH is built ...
    Hansheng Lei, Venu Govindaraju
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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 7 months ago
    Reducing the Storage Requirements of 1-v-1 Support Vector Machine Multi-classifiers
    Download  www2.cs.uregina.ca
    Pawan Lingras, Cory J. Butz
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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 7 months ago
    Multidimensional support vector machines for visualization of gene expression data
    Download  cbio.ensmp.fr
    Daisuke Komura, Hiroshi Nakamura, Shuichi Tsutsumi...
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    106
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    ECAI
    2004
    Springer
    140views Artificial Intelligence» more  ECAI 2004»
    A Generalized Quadratic Loss for Support Vector Machines
    15 years 7 months ago
    A Generalized Quadratic Loss for Support Vector Machines
    Download  www.math.unipd.it
    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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