Abstract:
Bayesian belief networks as powerful tools for modeling causes and effects in a wide variety of domains. Using of compact networks of probabilities that capture the proba...Show MoreMetadata
Abstract:
Bayesian belief networks as powerful tools for modeling causes and effects in a wide variety of domains. Using of compact networks of probabilities that capture the probabilistic relationship between variables, as well as historical information about their relationships.
Published in: 2006 International Conference - Modern Problems of Radio Engineering, Telecommunications, and Computer Science
Date of Conference: 28 February 2006 - 04 March 2006
Date Added to IEEE Xplore: 17 December 2007
Print ISBN:966-553-507-2
Contents 