1423 search results - page 10 / 285 » Object-Oriented Bayesian Networks |
126
Voted
IFIP12
2008
15 years 1 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...
110
Voted
EUSFLAT
2003
15 years 1 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...
134
Voted
IPL
2008
15 years 14 days 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,...
117
Voted
WSC
1997
15 years 1 months ago
1997
The paper present a layered design for a discrete event simulation framework based on the Java programming language. A description of this project’s goals and motivation is foll...
95
Voted
ICPR
2002
IEEE
16 years 1 months ago
2002
IEEE
In this paper, we will evaluate the power and usefulness of Bayesian network classifiers for credit scoring. Various types of Bayesian network classifiers will be evaluated and co...