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    ESANN
    2007
    116views Neural Networks» more  ESANN 2007»
    The Intrinsic Recurrent Support Vector Machine
    14 years 11 months ago
    The Intrinsic Recurrent Support Vector Machine
    Download  www.dice.ucl.ac.be
    In this work, we present a new model for a Recurrent Support Vector Machine. We call it intrinsic because the complete recurrence is directly incorporated within the considered opt...
    Daniel Schneegaß, Anton Maximilian Schä...
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    AIME
    2007
    Springer
    157views Artificial Intelligence» more  AIME 2007»
    Machine Learning Techniques for Decision Support in Anesthesia
    15 years 4 months ago
    Machine Learning Techniques for Decision Support in Anesthesia
    Download  www.ulb.ac.be
    Abstract. The growing availability of measurement devices in the operating room enables the collection of a huge amount of data about the state of the patient and the doctors’ pr...
    Olivier Caelen, Gianluca Bontempi, Luc Barvais
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    JMLR
    2006
    150views more  JMLR 2006»
    Building Support Vector Machines with Reduced Classifier Complexity
    14 years 9 months ago
    Building Support Vector Machines with Reduced Classifier Complexity
    Download  jmlr.csail.mit.edu
    Support vector machines (SVMs), though accurate, are not preferred in applications requiring great classification speed, due to the number of support vectors being large. To overc...
    S. Sathiya Keerthi, Olivier Chapelle, Dennis DeCos...
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    NIPS
    1996
    202views Information Technology» more  NIPS 1996»
    Improving the Accuracy and Speed of Support Vector Machines
    14 years 11 months ago
    Improving the Accuracy and Speed of Support Vector Machines
    Download  www.columbia.edu
    Support Vector Learning Machines (SVM) are nding application in pattern recognition, regression estimation, and operator inversion for ill-posed problems. Against this very genera...
    Christopher J. C. Burges, Bernhard Schölkopf
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    JMLR
    2006
    150views more  JMLR 2006»
    Exact 1-Norm Support Vector Machines Via Unconstrained Convex Differentiable Minimization
    14 years 9 months ago
    Exact 1-Norm Support Vector Machines Via Unconstrained Convex Differentiable Minimization
    Download  jmlr.csail.mit.edu
    Support vector machines utilizing the 1-norm, typically set up as linear programs (Mangasarian, 2000; Bradley and Mangasarian, 1998), are formulated here as a completely unconstra...
    Olvi L. Mangasarian
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