| 1 | -- | 3 | Peter J. F. Lucas, José A. Gámez, Antonio Salmerón. Special issue on PGM 04: Second European workshop on probabilistic graphical models 2004 |
| 4 | -- | 20 | Mark Chavira, Adnan Darwiche, Manfred Jaeger. Compiling relational Bayesian networks for exact inference |
| 21 | -- | 36 | Barry R. Cobb, Prakash P. Shenoy. Operations for inference in continuous Bayesian networks with linear deterministic variables |
| 37 | -- | 53 | A. J. Feelders, Linda C. van der Gaag. Learning Bayesian network parameters under order constraints |
| 54 | -- | 68 | Vanessa Romero, Rafael Rumí, Antonio Salmerón. Learning hybrid Bayesian networks using mixtures of truncated exponentials |
| 69 | -- | 83 | Carsten Riggelsen. Learning parameters of Bayesian networks from incomplete data via importance sampling |
| 84 | -- | 100 | Manfred Jaeger, Jens D. Nielsen, Tomi Silander. Learning probabilistic decision graphs |
| 101 | -- | 118 | Finn Verner Jensen, Thomas D. Nielsen, Prakash P. Shenoy. Sequential influence diagrams: A unified asymmetry framework |
| 119 | -- | 135 | Andrés Cano, Manuel Gómez, Serafín Moral. A forward-backward Monte Carlo method for solving influence diagrams |