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IFIP12
2008
14 years 11 months ago
Bayesian Networks Optimization Based on Induction Learning Techniques
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...
Paola Britos, Pablo Felgaer, Ramón Garc&iac...
EUSFLAT
2003
155views Fuzzy Logic» more  EUSFLAT 2003»
14 years 11 months ago
Bayesian networks for transport decision scenarios
Bayesian networks are formal graphical languages for representation and communication of decision scenarios requiring reasoning under uncertainty. We will analyze Bayesian network...
Alexander Holland
IPL
2008
172views more  IPL 2008»
14 years 9 months ago
Approximation algorithms for restricted Bayesian network structures
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,...
Valentin Ziegler
WSC
1997
14 years 10 months ago
SimJAVA - A Framework for Modeling Queueing Networks in Java
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...
Wolfgang Kreutzer, Jane Hopkins, Marcel van Mierlo
ICPR
2002
IEEE
15 years 10 months ago
Learning Bayesian Network Classifiers for Credit Scoring Using Markov Chain Monte Carlo Search
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...
Bart Baesens, Michael Egmont-Petersen, Robert Cast...