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    IJAR
    2006
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    Multi-objective evolutionary computation and fuzzy optimization
    14 years 25 days ago
    Multi-objective evolutionary computation and fuzzy optimization
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    Fernando Jiménez, José Manuel Cadena...
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    IJAR
    2006
    91views more  IJAR 2006»
    Sequential influence diagrams: A unified asymmetry framework
    14 years 25 days ago
    Sequential influence diagrams: A unified asymmetry framework
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    We describe a new graphical language for specifying asymmetric decision problems. The language is based on a filtered merge of several existing languages including sequential valu...
    Finn Verner Jensen, Thomas D. Nielsen, Prakash P. ...
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    IJAR
    2006
    89views more  IJAR 2006»
    Learning probabilistic decision graphs
    14 years 25 days ago
    Learning probabilistic decision graphs
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    Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...
    Manfred Jaeger, Jens D. Nielsen, Tomi Silander
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    IJAR
    2006
    118views more  IJAR 2006»
    Learning Bayesian network parameters under order constraints
    14 years 25 days ago
    Learning Bayesian network parameters under order constraints
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    We consider the problem of learning the parameters of a Bayesian network from data, while taking into account prior knowledge about the signs of influences between variables. Such...
    A. J. Feelders, Linda C. van der Gaag
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    IJAR
    2006
    241views more  IJAR 2006»
    Spatial reasoning under imprecision using fuzzy set theory, formal logics and mathematical morphology
    14 years 25 days ago
    Spatial reasoning under imprecision using fuzzy set theory, formal logics and mathematical morphology
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    In spatial reasoning, in particular for applications in image understanding, structure recognition and computer vision, a lot of attention has to be paid to spatial relationships ...
    Isabelle Bloch
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    IJAR
    2006
    80views more  IJAR 2006»
    Operations for inference in continuous Bayesian networks with linear deterministic variables
    14 years 25 days ago
    Operations for inference in continuous Bayesian networks with linear deterministic variables
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    An important class of continuous Bayesian networks are those that have linear conditionally deterministic variables (a variable that is a linear deterministic function of its pare...
    Barry R. Cobb, Prakash P. Shenoy
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    IJAR
    2006
    98views more  IJAR 2006»
    Inference in hybrid Bayesian networks with mixtures of truncated exponentials
    14 years 25 days ago
    Inference in hybrid Bayesian networks with mixtures of truncated exponentials
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    Mixtures of truncated exponentials (MTE) potentials are an alternative to discretization for solving hybrid Bayesian networks. Any probability density function can be approximated...
    Barry R. Cobb, Prakash P. Shenoy
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    IJAR
    2006
    55views more  IJAR 2006»
    Philippe Smets (1938-2005)
    14 years 25 days ago
    Philippe Smets (1938-2005)
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    Hughes Bersini, Thierry Denoeux, Didier Dubois, He...
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    IJAR
    2006
    125views more  IJAR 2006»
    Compiling relational Bayesian networks for exact inference
    14 years 25 days ago
    Compiling relational Bayesian networks for exact inference
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    We describe in this paper a system for exact inference with relational Bayesian networks as defined in the publicly available Primula tool. The system is based on compiling propos...
    Mark Chavira, Adnan Darwiche, Manfred Jaeger
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    IJAR
    2006
    98views more  IJAR 2006»
    A forward-backward Monte Carlo method for solving influence diagrams
    14 years 25 days ago
    A forward-backward Monte Carlo method for solving influence diagrams
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    Although influence diagrams are powerful tools for representing and solving complex decisionmaking problems, their evaluation may require an enormous computational effort and this...
    Andrés Cano, Manuel Gómez, Seraf&iac...
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