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    Gradient-based boosting for statistical relational learning: The relational dependency network case
    13 years 8 months ago
    Gradient-based boosting for statistical relational learning: The relational dependency network case
    Download  ftp.cs.wisc.edu
    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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    Statistical analysis of kernel-based least-squares density-ratio estimation
    13 years 8 months ago
    Statistical analysis of kernel-based least-squares density-ratio estimation
    Download  sugiyama-www.cs.titech.ac.jp
    The ratio of two probability densities can be used for solving various machine learning tasks such as covariate shift adaptation (importance sampling), outlier detection (likeliho...
    Takafumi Kanamori, Taiji Suzuki, Masashi Sugiyama
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    An alternative view of variational Bayes and asymptotic approximations of free energy
    13 years 8 months ago
    An alternative view of variational Bayes and asymptotic approximations of free energy
    Download  hawaii.naist.jp
    Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
    Kazuho Watanabe
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    ILP turns 20 - Biography and future challenges
    13 years 8 months ago
    ILP turns 20 - Biography and future challenges
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    Stephen Muggleton, Luc De Raedt, David Poole, Ivan...
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    Visualizing non-metric similarities in multiple maps
    13 years 8 months ago
    Visualizing non-metric similarities in multiple maps
    Download  www.cs.toronto.edu
    Laurens van der Maaten, Geoffrey E. Hinton
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