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    KDD
    2008
    ACM
    181views Data Mining» more  KDD 2008»
    Learning subspace kernels for classification
    15 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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    CIKM
    2008
    Springer
    159views Information Technology» more  CIKM 2008»
    A sparse gaussian processes classification framework for fast tag suggestions
    14 years 11 months ago
    A sparse gaussian processes classification framework for fast tag suggestions
    Download  www.cse.psu.edu
    Tagged data is rapidly becoming more available on the World Wide Web. Web sites which populate tagging services offer a good way for Internet users to share their knowledge. An in...
    Yang Song, Lu Zhang 0007, C. Lee Giles
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    KDD
    2007
    ACM
    197views Data Mining» more  KDD 2007»
    Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming
    15 years 10 months ago
    Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming
    Download  www.public.asu.edu
    The kernel function plays a central role in kernel methods. In this paper, we consider the automated learning of the kernel matrix over a convex combination of pre-specified kerne...
    Jieping Ye, Shuiwang Ji, Jianhui Chen
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    KDD
    2010
    ACM
    245views Data Mining» more  KDD 2010»
    Learning incoherent sparse and low-rank patterns from multiple tasks
    14 years 11 months ago
    Learning incoherent sparse and low-rank patterns from multiple tasks
    Download  www.public.asu.edu
    We consider the problem of learning incoherent sparse and lowrank patterns from multiple tasks. Our approach is based on a linear multi-task learning formulation, in which the spa...
    Jianhui Chen, Ji Liu, Jieping Ye
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