136 search results - page 15 / 28 » Context-Specific Independence in Bayesian Networks |
ECAI
2006
Springer
14 years 1 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...
UAI
2003
13 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 ...
VLSID
2005
IEEE
14 years 10 months ago
2005
IEEE
We propose a novel, non-simulative, probabilistic model for switching activity in sequential circuits, capturing both spatio-temporal correlations at internal nodes and higher ord...
BMCBI
2007
13 years 9 months ago
2007
In this review we give an overview of computational and statistical methods to reconstruct cellular networks. Although this area of research is vast and fast developing, we show t...
PKDD
2009
Springer
14 years 2 months ago
2009
Springer
Monitoring the variables of real world dynamic systems is a difficult task due to their inherent complexity and uncertainty. Particle Filters (PF) perform that task, yielding prob...