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    ICIP
    1999
    IEEE
    129views Image Processing» more  ICIP 1999»
    The Sinc-Approximating Kernels of Classical Polynomial Interpolation
    16 years 6 months ago
    The Sinc-Approximating Kernels of Classical Polynomial Interpolation
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    A classical approach to interpolation of sampled data is polynomial interpolation. However, from the sampling theorem it follows that the ideal approach to interpolation is to con...
    Erik H. W. Meijering, Wiro J. Niessen, Max A. Vier...
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    137
    Voted
    ICML
    2009
    IEEE
    185views Machine Learning» more  ICML 2009»
    Kernelized value function approximation for reinforcement learning
    16 years 5 months ago
    Kernelized value function approximation for reinforcement learning
    Download  www.cs.duke.edu
    Gavin Taylor, Ronald Parr
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    ICML
    2003
    IEEE
    157views Machine Learning» more  ICML 2003»
    Fast Query-Optimized Kernel Machine Classification Via Incremental Approximate Nearest Support Vectors
    16 years 5 months ago
    Fast Query-Optimized Kernel Machine Classification Via Incremental Approximate Nearest Support Vectors
    Download  www.aaai.org
    Dennis DeCoste, Dominic Mazzoni
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    ESANN
    2003
    148views Neural Networks» more  ESANN 2003»
    Approximately unbiased estimation of conditional variance in heteroscedastic kernel ridge regression
    15 years 6 months ago
    Approximately unbiased estimation of conditional variance in heteroscedastic kernel ridge regression
    Download  theoval.cmp.uea.ac.uk
    In this paper we extend a form of kernel ridge regression for data characterised by a heteroscedastic noise process (introduced in Foxall et al. [1]) in order to provide approxima...
    Gavin C. Cawley, Nicola L. C. Talbot, Robert J. Fo...
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    165
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    ICMLA
    2009
    208views Machine Learning» more  ICMLA 2009»
    ECON: A Kernel Basis Pursuit Algorithm with Automatic Feature Parameter Tuning, and its Application to Photometric Solids Approx
    15 years 2 months ago
    ECON: A Kernel Basis Pursuit Algorithm with Automatic Feature Parameter Tuning, and its Application to Photometric Solids Approx
    Download  www.grappa.univ-lille3.fr
    This paper introduces a new algorithm, namely the EquiCorrelation Network (ECON), to perform supervised classification, and regression. ECON is a kernelized LARS-like algorithm, b...
    Manuel Loth, Philippe Preux, Samuel Delepoulle, Ch...
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