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    ESANN
    2007
    103views Neural Networks» more  ESANN 2007»
    Interval discriminant analysis using support vector machines
    13 years 11 months ago
    Interval discriminant analysis using support vector machines
    Download  www.dice.ucl.ac.be
    Imprecision, incompleteness, prior knowledge or improved learning speed can motivate interval–represented data. Most approaches for SVM learning of interval data use local kernel...
    Cecilio Angulo, Davide Anguita, Luis Gonzál...
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    ESANN
    2004
    109views Neural Networks» more  ESANN 2004»
    On-line support vector machines and optimization strategies
    13 years 11 months ago
    On-line support vector machines and optimization strategies
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    Juan Manuel Górriz, Carlos García Pu...
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    ESANN
    2006
    133views Neural Networks» more  ESANN 2006»
    Bootstrap feature selection in support vector machines for ventricular fibrillation detection
    13 years 11 months ago
    Bootstrap feature selection in support vector machines for ventricular fibrillation detection
    Download  www.dice.ucl.ac.be
    Felipe Alonso Atienza, José Luis Rojo-&Aacu...
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    IJCAI
    2003
    152views Artificial Intelligence» more  IJCAI 2003»
    SVMC: Single-Class Classification With Support Vector Machines
    13 years 11 months ago
    SVMC: Single-Class Classification With Support Vector Machines
    Download  dli.iiit.ac.in
    Single-Class Classification (SCC) seeks to distinguish one class of data from the universal set of multiple classes. We present a new SCC algorithm that efficiently computes an ac...
    Hwanjo Yu
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    NIPS
    2003
    197views Information Technology» more  NIPS 2003»
    1-norm Support Vector Machines
    13 years 11 months ago
    1-norm Support Vector Machines
    Download  www.stat.lsa.umich.edu
    The standard 2-norm SVM is known for its good performance in twoclass classi£cation. In this paper, we consider the 1-norm SVM. We argue that the 1-norm SVM may have some advanta...
    Ji Zhu, Saharon Rosset, Trevor Hastie, Robert Tibs...
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