101 search results - page 17 / 21 » Parametric Structure of Probabilities in Bayesian Networks |
ATAL
2005
Springer
14 years 1 months ago
2005
Springer
In complex multi-agent fusion systems resource conflicts are very likely to occur. We propose an algorithm that determines the optimal sensing resource to fusion task assignment,...
CIKM
1997
Springer
13 years 11 months ago
1997
Springer
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
UAI
1998
13 years 9 months ago
1998
The monitoring and control of any dynamic system depends crucially on the ability to reason about its current status and its future trajectory. In the case of a stochastic system,...
UAI
2004
13 years 9 months ago
2004
A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...
GAMESEC
2010
13 years 5 months ago
2010
Abstract. Even the most well-motivated models of information security have application limitations due to the inherent uncertainties involving risk. This paper exemplifies a formal...