42 search results - page 1 / 9 » Symbolic Probabilistic Inference in Belief Networks |
AAAI
1990
13 years 6 months ago
1990
The Symbolic Probabilistic Inference (SPI) Algorithm [D'Ambrosio, 19891 provides an efficient framework for resolving general queries on a belief network. It applies the conc...
IJCAI
1997
13 years 6 months ago
1997
Bayesian belief networks have grown to prominence because they provide compact representations of many domains, and there are algorithms to exploit this compactness. The next step...
UAI
1994
13 years 6 months ago
1994
In this paper we propose a new approach to probabilistic inference on belief networks, global conditioning, which is a simple generalization of Pearl's (1986b) method of loop...
AAAI
2008
13 years 7 months ago
2008
Unifying first-order logic and probability is a long-standing goal of AI, and in recent years many representations combining aspects of the two have been proposed. However, infere...
AAAI
2010
13 years 6 months ago
2010
Many problems require repeated inference on probabilistic graphical models, with different values for evidence variables or other changes. Examples of such problems include utilit...