Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
A valuation-based language for expert systems
International Journal of Approximate Reasoning
From relational databases to belief networks
Proceedings of the seventh conference (1991) on Uncertainty in artificial intelligence
Computing marginals for arbitrary subsets from marginal representation in Markov trees
Artificial Intelligence
Nonserial Dynamic Programming
Valuation-based systems for discrete optimisation
UAI '90 Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence
Hi-index | 0.00 |
Valuation-Based System (VBS for short) can represent knowledge indifferent domains including probability theory, Dempster-Shafertheory and possibility theory. More recent studies show that theframework of VBS is also appropriate for representing and solvingBayesian decision problems and optimization problems. In this paperafter introducing the valuation based system framework, we presentMarkov-like properties of VBS and a method for resolving queries toVBS.