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    NIPS
    2004
    88views Information Technology» more  NIPS 2004»
    Kernels for Multi--task Learning
    13 years 11 months ago
    Kernels for Multi--task Learning
    Download  www.mit.edu
    This paper provides a foundation for multi
    Charles A. Micchelli, Massimiliano Pontil
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    KDD
    2008
    ACM
    181views Data Mining» more  KDD 2008»
    Learning subspace kernels for classification
    14 years 10 months ago
    Learning subspace kernels for classification
    Download  www.public.asu.edu
    Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
    Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Min...
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    ML
    2002
    ACM
    163views Machine Learning» more  ML 2002»
    Structural Modelling with Sparse Kernels
    13 years 9 months ago
    Structural Modelling with Sparse Kernels
    Download  users.ecs.soton.ac.uk
    A widely acknowledged drawback of many statistical modelling techniques, commonly used in machine learning, is that the resulting model is extremely difficult to interpret. A numb...
    Steve R. Gunn, Jaz S. Kandola
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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
    13 years 7 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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    ICMLA
    2010
    247views Machine Learning» more  ICMLA 2010»
    Bayesian Classification of Flight Calls with a Novel Dynamic Time Warping Kernel
    13 years 7 months ago
    Bayesian Classification of Flight Calls with a Novel Dynamic Time Warping Kernel
    Download  www.cs.cornell.edu
    Abstract--In this paper we propose a probabilistic classification algorithm with a novel Dynamic Time Warping (DTW) kernel to automatically recognize flight calls of different spec...
    Theodoros Damoulas, Samuel Henry, Andrew Farnswort...
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