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    IPM
    2006
    171views more  IPM 2006»
    Automatic extraction of bilingual word pairs using inductive chain learning in various languages
    14 years 10 months ago
    Automatic extraction of bilingual word pairs using inductive chain learning in various languages
    Download  sig.media.eng.hokudai.ac.jp
    In this paper, we propose a new learning method for extracting bilingual word pairs from parallel corpora in various languages. In cross-language information retrieval, the system...
    Hiroshi Echizen-ya, Kenji Araki, Yoshio Momouchi
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    ML
    2006
    ACM
    142views Machine Learning» more  ML 2006»
    The max-min hill-climbing Bayesian network structure learning algorithm
    14 years 10 months ago
    The max-min hill-climbing Bayesian network structure learning algorithm
    Download  www.dsl-lab.org
    We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
    Ioannis Tsamardinos, Laura E. Brown, Constantin F....
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    IJAR
    2007
    130views more  IJAR 2007»
    Bayesian network learning algorithms using structural restrictions
    14 years 10 months ago
    Bayesian network learning algorithms using structural restrictions
    Download  decsai.ugr.es
    The use of several types of structural restrictions within algorithms for learning Bayesian networks is considered. These restrictions may codify expert knowledge in a given domai...
    Luis M. de Campos, Javier Gomez Castellano
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    TSMC
    1998
    78views more  TSMC 1998»
    Automata learning and intelligent tertiary searching for stochastic point location
    14 years 9 months ago
    Automata learning and intelligent tertiary searching for stochastic point location
    Download  ceit.aut.ac.ir
    —Consider the problem of a robot (learning mechanism or algorithm) attempting to locate a point on a line. The mechanism interacts with a random environment which essentially inf...
    B. John Oommen, Govindachari Raghunath
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    ICMLA
    2010
    211views Machine Learning» more  ICMLA 2010»
    Ensembles of Neural Networks for Robust Reinforcement Learning
    14 years 8 months ago
    Ensembles of Neural Networks for Robust Reinforcement Learning
    Download  ahans.de
    Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
    Alexander Hans, Steffen Udluft
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