1489 search results - page 3 / 298 » Monotonicity in Bayesian Networks |
IJIS
2006
13 years 6 months ago
2006
We discuss an application of a family of Bayesian network models
JNS
2008
13 years 6 months ago
2008
The theory of monotone dynamical systems has been found very useful in the modeling of some gene, protein, and signaling networks. In monotone systems, every net feedback loop is p...
IFIP12
2008
13 years 8 months ago
2008
Obtaining a bayesian network from data is a learning process that is divided in two steps: structural learning and parametric learning. In this paper, we define an automatic learni...
EUSFLAT
2003
13 years 8 months ago
2003
Bayesian networks are formal graphical languages for representation and communication of decision scenarios requiring reasoning under uncertainty. We will analyze Bayesian network...
IPL
2008
13 years 6 months ago
2008
Bayesian Network structures with a maximum in-degree of k can be approximated with respect to a positive scoring metric up to an factor of 1/k. Key words: approximation algorithm,...