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    ICGA
    2007
    157views Optimization» more  ICGA 2007»
    Computing "Elo Ratings" of Move Patterns in the Game of Go
    13 years 7 months ago
    Computing "Elo Ratings" of Move Patterns in the Game of Go
    Download  remi.coulom.free.fr
    Abstract. Move patterns are an essential method to incorporate domain knowledge into Go-playing programs. This paper presents a new Bayesian technique for supervised learning of su...
    Rémi Coulom
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    SIGIR
    2008
    ACM
    138views Information Technology» more  SIGIR 2008»
    To tag or not to tag -: harvesting adjacent metadata in large-scale tagging systems
    13 years 7 months ago
    To tag or not to tag -: harvesting adjacent metadata in large-scale tagging systems
    Download  lsirpeople.epfl.ch
    We present HAMLET, a suite of principles, scoring models and algorithms to automatically propagate metadata along edges in a document neighborhood. As a showcase scenario we consi...
    Adriana Budura, Sebastian Michel, Philippe Cudr&ea...
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    TMC
    2010
    230views more  TMC 2010»
    Bandwidth Recycling in IEEE 802.16 Networks
    13 years 6 months ago
    Bandwidth Recycling in IEEE 802.16 Networks
    Download  www.public.iastate.edu
    —IEEE 802.16 standard was designed to support the bandwidth demanding applications with quality of service (QoS). Bandwidth is reserved for each application to ensure the QoS. Fo...
    D. Chuck, J. M. Chang
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    JCB
    2006
    185views more  JCB 2006»
    A Probabilistic Methodology for Integrating Knowledge and Experiments on Biological Networks
    13 years 7 months ago
    A Probabilistic Methodology for Integrating Knowledge and Experiments on Biological Networks
    Download  www.math.tau.ac.il
    Biological systems are traditionally studied by focusing on a specific subsystem, building an intuitive model for it, and refining the model using results from carefully designed ...
    Irit Gat-Viks, Amos Tanay, Daniela Raijman, Ron Sh...
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    ROCAI
    2004
    Springer
    325views Artificial Intelligence» more  ROCAI 2004»
    Learning Mixtures of Localized Rules by Maximizing the Area Under the ROC Curve
    14 years 1 months ago
    Learning Mixtures of Localized Rules by Maximizing the Area Under the ROC Curve
    Download  www.mpi-inf.mpg.de
    We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
    Tobias Sing, Niko Beerenwinkel, Thomas Lengauer
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