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AI
2001
Springer
15 years 2 months ago
Learning Bayesian Belief Network Classifiers: Algorithms and System
Abstract. This paper investigates the methods for learning predictive classifiers based on Bayesian belief networks (BN) – primarily unrestricted Bayesian networks and Bayesian m...
Jie Cheng, Russell Greiner
IICAI
2003
14 years 11 months ago
The Acyclic Bayesian Net Generator
Abstract. We present the Acyclic Bayesian Net Generator, a new approach to learn the structure of a Bayesian network using genetic algorithms. Due to the encoding mechanism, acycli...
Pankaj B. Gupta, Vicki H. Allan
COGSCI
2008
65views more  COGSCI 2008»
14 years 10 months ago
A Survey of Model Evaluation Approaches With a Tutorial on Hierarchical Bayesian Methods
We review current methods for evaluating models in the cognitive sciences, including theoretically-based approaches, such as Bayes Factors and MDL measures, simulation approaches,...
Richard M. Shiffrin, Michael D. Lee, Woojae Kim, E...
IJPRAI
1998
100views more  IJPRAI 1998»
14 years 9 months ago
Obtaining The Correspondence between Bayesian and Neural Networks
We present in this paper a novel method for eliciting the conditional probability matrices needed for a Bayesian network with the help of a neural network. We demonstrate how we c...
Athena Stassopoulou, Maria Petrou
TSMC
2010
14 years 4 months ago
Credal Semantics of Bayesian Transformations in Terms of Probability Intervals
In this paper we propose a credal representation of the interval probability associated with a belief function (b.f.), and show how it relates to several classical Bayesian transfo...
Fabio Cuzzolin