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ORCIDInternational Journal of Approximate Reasoning, Volume 42
Volume 42, Numbers 1-2, May 2006
- Peter J. F. Lucas, José A. Gámez
, Antonio Salmerón:
Special issue on PGM'04: Second European workshop on probabilistic graphical models 2004. 1-3 - Mark Chavira, Adnan Darwiche, Manfred Jaeger:
Compiling relational Bayesian networks for exact inference. 4-20 - Barry R. Cobb, Prakash P. Shenoy:
Operations for inference in continuous Bayesian networks with linear deterministic variables. 21-36 - A. J. Feelders, Linda C. van der Gaag:
Learning Bayesian network parameters under order constraints. 37-53 - Vanessa Romero, Rafael Rumí, Antonio Salmerón:
Learning hybrid Bayesian networks using mixtures of truncated exponentials. 54-68 - Carsten Riggelsen:
Learning parameters of Bayesian networks from incomplete data via importance sampling. 69-83 - Manfred Jaeger, Jens Dalgaard Nielsen, Tomi Silander:
Learning probabilistic decision graphs. 84-100 - Finn Verner Jensen, Thomas D. Nielsen, Prakash P. Shenoy:
Sequential influence diagrams: A unified asymmetry framework. 101-118 - Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral:
A forward-backward Monte Carlo method for solving influence diagrams. 119-135
Volume 42, Number 3, August 2006
- Ronald R. Yager:
Generalizing variance to allow the inclusion of decision attitude in decision making under uncertainty. 137-158 - Katsuhiro Honda, Hidetomo Ichihashi:
Fuzzy local independent component analysis with external criteria and its application to knowledge discovery in databases. 159-173 - Peter Dawyndt, Hans E. De Meyer, Bernard De Baets:
UPGMA clustering revisited: A weight-driven approach to transitive approximation. 174-191 - Damjan Skulj:
Jeffrey's conditioning rule in neighbourhood models. 192-211 - Vladik Kreinovich, Gang Xiang, Scott Ferson:
Computing mean and variance under Dempster-Shafer uncertainty: Towards faster algorithms. 212-227 - Thierry Denoeux:
Constructing belief functions from sample data using multinomial confidence regions. 228-252
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