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    NIPS
    2004
    199views Information Technology» more  NIPS 2004»
    Computing regularization paths for learning multiple kernels
    15 years 7 months ago
    Computing regularization paths for learning multiple kernels
    Download  books.nips.cc
    The problem of learning a sparse conic combination of kernel functions or kernel matrices for classification or regression can be achieved via the regularization by a block 1-norm...
    Francis R. Bach, Romain Thibaux, Michael I. Jordan
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    ICML
    2008
    IEEE
    92views Machine Learning» more  ICML 2008»
    Actively learning level-sets of composite functions
    16 years 6 months ago
    Actively learning level-sets of composite functions
    Download  reports-archive.adm.cs.cmu.edu
    Brent Bryan, Jeff G. Schneider
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    ICALT
    2008
    IEEE
    92views Machine Learning» more  ICALT 2008»
    Realistic Learning Activity is Not Enough
    16 years 13 days ago
    Realistic Learning Activity is Not Enough
    Download  ccc.k12.edu.tw
    John M. Carroll, Marcela Borge, Lu Xiao, Craig H. ...
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    ICCV
    2001
    IEEE
    169views Computer Vision» more  ICCV 2001»
    Self-Supervised Learning for Object Recognition based on Kernel Discriminant-EM Algorithm
    16 years 8 months ago
    Self-Supervised Learning for Object Recognition based on Kernel Discriminant-EM Algorithm
    Download  www.ece.northwestern.edu
    Ying Wu, Thomas S. Huang, Kentaro Toyama
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    AAAI
    2006
    153views Intelligent Agents» more  AAAI 2006»
    kFOIL: Learning Simple Relational Kernels
    15 years 7 months ago
    kFOIL: Learning Simple Relational Kernels
    Download  www.aaai.org
    A novel and simple combination of inductive logic programming with kernel methods is presented. The kFOIL algorithm integrates the well-known inductive logic programming system FO...
    Niels Landwehr, Andrea Passerini, Luc De Raedt, Pa...
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