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    » MEBN: A language for first-order Bayesian knowledge bases
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    IJPRAI
    2000
    108views more  IJPRAI 2000»
    Knowledge Base Reformation: Preparing First-Order Theories for Efficient Propositional Reasoning
    13 years 4 months ago
    Knowledge Base Reformation: Preparing First-Order Theories for Efficient Propositional Reasoning
    Download  www.miv.t.u-tokyo.ac.jp
    We present an approach to knowledge compilation that transforms a function-free first-order Horn knowledge base to propositional logic. This form of compilation is important since...
    Helmut Prendinger, Mitsuru Ishizuka, Gerhard Schur...
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    AAAI
    1996
    150views Intelligent Agents» more  AAAI 1996»
    Irrelevance and Conditioning in First-Order Probabilistic Logic
    13 years 6 months ago
    Irrelevance and Conditioning in First-Order Probabilistic Logic
    Download  www.cs.cornell.edu
    First-order probabilistic logic is a powerful knowledge representation language. Unfortunately, deductive reasoning based on the standard semantics for this logic does not support...
    Daphne Koller, Joseph Y. Halpern
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    FIW
    2007
    133views Communications» more  FIW 2007»
    Conflict Detection in Call Control Using First-Order Logic Model Checking
    13 years 6 months ago
    Conflict Detection in Call Control Using First-Order Logic Model Checking
    Download  www.site.uottawa.ca
    Feature interaction detection methods, whether online or offline, depend on previous knowledge of conflicts between the actions executed by the features. This knowledge is usually ...
    Ahmed F. Layouni, Luigi Logrippo, Kenneth J. Turne...
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    TASLP
    2010
    97views more  TASLP 2010»
    Hierarchical Bayesian Language Models for Conversational Speech Recognition
    12 years 11 months ago
    Hierarchical Bayesian Language Models for Conversational Speech Recognition
    Download  homepages.inf.ed.ac.uk
    Traditional n-gram language models are widely used in state-of-the-art large vocabulary speech recognition systems. This simple model suffers from some limitations, such as overfi...
    Songfang Huang, Steve Renals
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    CVPR
    2003
    IEEE
    249views Computer Vision» more  CVPR 2003»
    A Bayesian Framework for Fusing Multiple Word Knowledge Models in Videotext Recognition
    14 years 6 months ago
    A Bayesian Framework for Fusing Multiple Word Knowledge Models in Videotext Recognition
    Download  www.ctr.columbia.edu
    Videotext recognition is challenging due to low resolution, diverse fonts/styles, and cluttered background. Past methods enhanced recognition by using multiple frame averaging, im...
    DongQing Zhang, Shih-Fu Chang
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