International journal of approximate reasoning

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  Año 2006, Vol. 42, Número 1

  • Special issue on PGM¿04: Second European workshop on probabilistic graphical models 2004

    Antonio Salmerón Cerdán, José Antonio Gámez Martín, Peter J.F. Lucas

    págs. 1-3

    

  • Compiling relational Bayesian networks for exact inference

    Adnan Darwiche, Manfred Jaeger, Mark Chavira

    págs. 4-20

    

  • Operations for inference in continuous Bayesian networks with linear deterministic variables

    Prakash P. Shenoy, Barry R. Cobb

    págs. 21-36

    

  • Learning Bayesian network parameters under order constraints

    Linda C. van der Gaag, Ad Feelders

    págs. 37-53

    

  • Learning hybrid Bayesian networks using mixtures of truncated exponentials

    Vanessa Romero, Rafael Rumí, Antonio Salmerón Cerdán

    págs. 54-68

    

  • Learning parameters of Bayesian networks from incomplete data via importance sampling

    Carsten Riggelsen

    págs. 69-83

    

  • Learning probabilistic decision graphs

    Manfred Jaeger, Tomi Silander, Jens D. Nielsen

    págs. 84-100

    

  • Sequential influence diagrams: A unified asymmetry framework

    Thomas D. Nielsen, Prakash P. Shenoy, Finn V. Jensen

    págs. 101-118

    

  • A forward-backward Monte Carlo method for solving influence diagrams

    Serafín Moral Callejón, Andrés Cano Utrera, Manuel Gómez Olmedo

    págs. 119-135