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    ML
    2012
    ACM
    413views Machine Learning» more  ML 2012»
    Gradient-based boosting for statistical relational learning: The relational dependency network case
    13 years 10 months ago
    Gradient-based boosting for statistical relational learning: The relational dependency network case
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    Dependency networks approximate a joint probability distribution over multiple random variables as a product of conditional distributions. Relational Dependency Networks (RDNs) are...
    Sriraam Natarajan, Tushar Khot, Kristian Kersting,...
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    114
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    SODA
    2010
    ACM
    185views Algorithms» more  SODA 2010»
    Paired Approximation Problems and Incompatible Inapproximabilities
    16 years 3 days ago
    Paired Approximation Problems and Incompatible Inapproximabilities
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    David Eppstein
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