Journals in DBLP
Peter J. F. Lucas , José A. Gámez , Antonio Salmerón Special issue on PGM'04: Second European workshop on probabilistic graphical models 2004. [Citation Graph (0, 0)][DBLP ] Int. J. Approx. Reasoning, 2006, v:42, n:1-2, pp:1-3 [Journal ] Mark Chavira , Adnan Darwiche , Manfred Jaeger Compiling relational Bayesian networks for exact inference. [Citation Graph (0, 0)][DBLP ] Int. J. Approx. Reasoning, 2006, v:42, n:1-2, pp:4-20 [Journal ] Barry R. Cobb , Prakash P. Shenoy Operations for inference in continuous Bayesian networks with linear deterministic variables. [Citation Graph (0, 0)][DBLP ] Int. J. Approx. Reasoning, 2006, v:42, n:1-2, pp:21-36 [Journal ] A. J. Feelders , Linda C. van der Gaag Learning Bayesian network parameters under order constraints. [Citation Graph (0, 0)][DBLP ] Int. J. Approx. Reasoning, 2006, v:42, n:1-2, pp:37-53 [Journal ] Vanessa Romero , Rafael Rumí , Antonio Salmerón Learning hybrid Bayesian networks using mixtures of truncated exponentials. [Citation Graph (0, 0)][DBLP ] Int. J. Approx. Reasoning, 2006, v:42, n:1-2, pp:54-68 [Journal ] Carsten Riggelsen Learning parameters of Bayesian networks from incomplete data via importance sampling. [Citation Graph (0, 0)][DBLP ] Int. J. Approx. Reasoning, 2006, v:42, n:1-2, pp:69-83 [Journal ] Manfred Jaeger , Jens D. Nielsen , Tomi Silander Learning probabilistic decision graphs. [Citation Graph (0, 0)][DBLP ] Int. J. Approx. Reasoning, 2006, v:42, n:1-2, pp:84-100 [Journal ] Finn Verner Jensen , Thomas D. Nielsen , Prakash P. Shenoy Sequential influence diagrams: A unified asymmetry framework. [Citation Graph (0, 0)][DBLP ] Int. J. Approx. Reasoning, 2006, v:42, n:1-2, pp:101-118 [Journal ] Andrés Cano , Manuel Gómez , Serafín Moral A forward-backward Monte Carlo method for solving influence diagrams. [Citation Graph (0, 0)][DBLP ] Int. J. Approx. Reasoning, 2006, v:42, n:1-2, pp:119-135 [Journal ]