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FLAIRS
2007
13 years 7 months ago
Lossless Decomposition of Bayesian Networks
In this paper, we study the problem of information preservation when decomposing a single Bayesian network into a set of smaller Bayesian networks. We present a method that lossle...
Dan Wu
IJIS
2006
115views more  IJIS 2006»
13 years 5 months ago
Noisy-or classifier
We discuss an application of a family of Bayesian network models
Jirí Vomlel
IFIP12
2008
13 years 6 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»
13 years 6 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»
13 years 5 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