85 search results - page 6 / 17 » Exploiting Causal Independence in Large Bayesian Networks |
CL
2000
Springer
14 years 20 hour ago
2000
Springer
In this paper I give a brief overview of recent work on uncertainty inAI, and relate it to logical representations. Bayesian decision theory and logic are both normative frameworks...
UAI
2003
13 years 9 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 ...
JMLR
2006
13 years 7 months ago
2006
We present Variable Influence Structure Analysis, or VISA, an algorithm that performs hierarchical decomposition of factored Markov decision processes. VISA uses a dynamic Bayesia...
BMCBI
2007
13 years 7 months ago
2007
Background: Reverse engineering cellular networks is currently one of the most challenging problems in systems biology. Dynamic Bayesian networks (DBNs) seem to be particularly su...
ECAI
2006
Springer
13 years 11 months ago
2006
Springer
One problem faced in knowledge engineering for Bayesian networks is the exponential growth of the number of parameters in their conditional probability tables (CPTs). The most comm...