21 search results - page 1 / 5 » Decomposing Local Probability Distributions in Bayesian Netw... |
FLAIRS
2006
13 years 5 months ago
2006
A major difficulty in building Bayesian network models is the size of conditional probability tables, which grow exponentially in the number of parents. One way of dealing with th...
AUSAI
2004
Springer
13 years 10 months ago
2004
Springer
We describe an Ant Colony Optimization (ACO) algorithm, ANT-MPE, for the most probable explanation problem in Bayesian network inference. After tuning its parameters settings, we c...
AAAI
2011
12 years 4 months ago
2011
Dependency networks are a compelling alternative to Bayesian networks for learning joint probability distributions from data and using them to compute probabilities. A dependency ...
AIIA
2003
Springer
13 years 9 months ago
2003
Springer
A bayesian network is an appropriate tool for working with uncertainty and probability, that are typical of real-life applications. In literature we find different approaches for b...
INFOCOM
2010
IEEE
13 years 2 months ago
2010
IEEE
—In this paper, we present a general technique based on Bayesian inference to locate mobiles in cellular networks. We study the problem of localizing users in a cellular network ...