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
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
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