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    IJCNN
    2008
    IEEE
    139views Neural Networks» more  IJCNN 2008»
    Sparse support vector machines trained in the reduced empirical feature space
    13 years 11 months ago
    Sparse support vector machines trained in the reduced empirical feature space
    Download  www.lib.kobe-u.ac.jp
    — We discuss sparse support vector machines (sparse SVMs) trained in the reduced empirical feature space. Namely, we select the linearly independent training data by the Cholesky...
    Kazuki Iwamura, Shigeo Abe
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    ICANN
    2007
    Springer
    129views Neural Networks» more  ICANN 2007»
    Sparse Least Squares Support Vector Regressors Trained in the Reduced Empirical Feature Space
    13 years 11 months ago
    Sparse Least Squares Support Vector Regressors Trained in the Reduced Empirical Feature Space
    Download  www.lib.kobe-u.ac.jp
    Abstract. In this paper we discuss sparse least squares support vector regressors (sparse LS SVRs) defined in the reduced empirical feature space, which is a subspace of mapped tr...
    Shigeo Abe, Kenta Onishi
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    PAA
    2007
    91views Distributed And Parallel Com...» more  PAA 2007»
    Sparse least squares support vector training in the reduced empirical feature space
    13 years 4 months ago
    Sparse least squares support vector training in the reduced empirical feature space
    Download  www.lib.kobe-u.ac.jp
    Shigeo Abe
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    ESANN
    2008
    90views Neural Networks» more  ESANN 2008»
    Comparison of sparse least squares support vector regressors trained in primal and dual
    13 years 6 months ago
    Comparison of sparse least squares support vector regressors trained in primal and dual
    Download  www.dice.ucl.ac.be
    In our previous work, we have developed sparse least squares support vector regressors (sparse LS SVRs) trained in the primal form in the reduced empirical feature space. In this p...
    Shigeo Abe
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    ECML
    2004
    Springer
    154views Machine Learning» more  ECML 2004»
    Experiments in Value Function Approximation with Sparse Support Vector Regression
    13 years 10 months ago
    Experiments in Value Function Approximation with Sparse Support Vector Regression
    Download  userweb.cs.utexas.edu
    Abstract. We present first experiments using Support Vector Regression as function approximator for an on-line, sarsa-like reinforcement learner. To overcome the batch nature of S...
    Tobias Jung, Thomas Uthmann
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