564 search results - page 3 / 113 » Approximation algorithms for restricted Bayesian network str... |
121
Voted
AMAI
2008
Springer
14 years 10 months ago
2008
Springer
This paper presents and evaluates an approach to Bayesian model averaging where the models are Bayesian nets (BNs). Prior distributions are defined using stochastic logic programs...
115
Voted
JMLR
2010
14 years 5 months ago
2010
We propose to solve the combinatorial problem of finding the highest scoring Bayesian network structure from data. This structure learning problem can be viewed as an inference pr...
89
Voted
AAAI
2008
15 years 18 days ago
2008
Modal logic represents knowledge that agents have about other agents' knowledge. Probabilistic modal logic further captures probabilistic beliefs about probabilistic beliefs....
78
Voted
AI
2008
Springer
14 years 10 months ago
2008
Springer
Local computation in join trees or acyclic hypertrees has been shown to be linked to a particular algebraic structure, called valuation algebra. There are many models of this alge...
79
Voted
UAI
2003
14 years 11 months ago
2003
In this paper, we provide new complexity results for algorithms that learn discrete-variable Bayesian networks from data. Our results apply whenever the learning algorithm uses a ...