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    JMLR
    2010
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    Sufficient Dimension Reduction via Squared-loss Mutual Information Estimation
    13 years 7 months ago
    Sufficient Dimension Reduction via Squared-loss Mutual Information Estimation
    Download  jmlr.csail.mit.edu
    The goal of sufficient dimension reduction in supervised learning is to find the lowdimensional subspace of input features that is `sufficient' for predicting output values. ...
    Taiji Suzuki, Masashi Sugiyama
    claim paper
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