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    ESANN
    2007
    103views Neural Networks» more  ESANN 2007»
    Interval discriminant analysis using support vector machines
    13 years 10 months ago
    Interval discriminant analysis using support vector machines
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    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 10 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 10 months ago
    Bootstrap feature selection in support vector machines for ventricular fibrillation detection
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    Felipe Alonso Atienza, José Luis Rojo-&Aacu...
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    ESANN
    2006
    144views Neural Networks» more  ESANN 2006»
    Evolino for recurrent support vector machines
    13 years 10 months ago
    Evolino for recurrent support vector machines
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    Abstract. We introduce a new class of recurrent, truly sequential SVM-like devices with internal adaptive states, trained by a novel method called EVOlution of systems with KErnel-...
    Jürgen Schmidhuber, Matteo Gagliolo, Daan Wie...
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    IJCAI
    2003
    86views Artificial Intelligence» more  IJCAI 2003»
    Multi-prototype Support Vector Machine
    13 years 10 months ago
    Multi-prototype Support Vector Machine
    Download  dli.iiit.ac.in
    We extend multiclass SVM to multiple prototypes per class. For this framework, we give a compact constrained quadratic problem and we suggest an efficient algorithm for its optimi...
    Fabio Aiolli, Alessandro Sperduti
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