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    ICMLA
    2009
    167views Machine Learning» more  ICMLA 2009»
    Learning Parameters for Relational Probabilistic Models with Noisy-Or Combining Rule
    15 years 27 days ago
    Learning Parameters for Relational Probabilistic Models with Noisy-Or Combining Rule
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    Languages that combine predicate logic with probabilities are needed to succinctly represent knowledge in many real-world domains. We consider a formalism based on universally qua...
    Sriraam Natarajan, Prasad Tadepalli, Gautam Kunapu...
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    TNN
    1998
    123views more  TNN 1998»
    A general framework for adaptive processing of data structures
    15 years 2 months ago
    A general framework for adaptive processing of data structures
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    —A structured organization of information is typically required by symbolic processing. On the other hand, most connectionist models assume that data are organized according to r...
    Paolo Frasconi, Marco Gori, Alessandro Sperduti
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    CBMS
    2009
    IEEE
    121views Medical Imaging» more  CBMS 2009»
    Probabilistic relational modelling of mammographic images
    15 years 10 months ago
    Probabilistic relational modelling of mammographic images
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    Nivea de Carvalho Ferreira, Peter J. F. Lucas
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    AI
    2003
    Springer
    79views Artificial Intelligence» more  AI 2003»
    Probabilistic Reasoning in Bayesian Networks: A Relational Database Approach
    15 years 8 months ago
    Probabilistic Reasoning in Bayesian Networks: A Relational Database Approach
    Download  www2.cs.uregina.ca
    S. K. Michael Wong, Dan Wu, Cory J. Butz
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    SCAI
    2008
    228views Artificial Intelligence» more  SCAI 2008»
    Probabilistic-Logic Models: Reasoning and Learning with Relational Structures
    15 years 4 months ago
    Probabilistic-Logic Models: Reasoning and Learning with Relational Structures
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    Manfred Jaeger
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