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    UAI
    1993
    88views Artificial Intelligence» more  UAI 1993»
    Using Causal Information and Local Measures to Learn Bayesian Networks
    13 years 11 months ago
    Using Causal Information and Local Measures to Learn Bayesian Networks
    Download  www.cs.toronto.edu
    In previous work we developed a method of learning Bayesian Network models from raw data. This method relies on the well known minimal description length (MDL) principle. The MDL ...
    Wai Lam, Fahiem Bacchus
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    WMTE
    2002
    IEEE
    202views Wireless Networks» more  WMTE 2002»
    Mobile Internet Usability: What Can 'Mobile Learning' Learn from the Past?
    14 years 2 months ago
    Mobile Internet Usability: What Can 'Mobile Learning' Learn from the Past?
    Download  www.te.ugm.ac.id
    ‘Mobile Learning’ is a type of application/service that generally presumes to use mobile Internet technology for learning purposes. This paper focuses on discussing basic usab...
    Maria Uther
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    EOR
    2006
    97views more  EOR 2006»
    A simulated annealing and hill-climbing algorithm for the traveling tournament problem
    13 years 10 months ago
    A simulated annealing and hill-climbing algorithm for the traveling tournament problem
    Download  www.stanford.edu
    The Traveling Tournament Problem (TTP) [E. Easton, G. Nemhauser, M. Trick, The traveling tournament problem description and benchmarks, in: Proceedings of the 7th International Co...
    Andrew Lim, Brian Rodrigues, X. Zhang
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    JETAI
    2002
    71views more  JETAI 2002»
    Comparing performance of algorithms for generating concept lattices
    13 years 9 months ago
    Comparing performance of algorithms for generating concept lattices
    Download  sunsite.informatik.rwth-aachen.de
    Several algorithms that generate the set of all formal concepts and diagram graphs of concept lattices are considered. Some modifications of wellknown algorithms are proposed. Algo...
    Sergei O. Kuznetsov, Sergei A. Obiedkov
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    JCDL
    2006
    ACM
    143views Education» more  JCDL 2006»
    Categorizing web search results into meaningful and stable categories using fast-feature techniques
    14 years 3 months ago
    Categorizing web search results into meaningful and stable categories using fast-feature techniques
    Download  hcil.cs.umd.edu
    When search results against digital libraries and web resources have limited metadata, augmenting them with meaningful and stable category information can enable better overviews ...
    Bill Kules, Jack Kustanowitz, Ben Shneiderman
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