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» Goal Oriented Symbolic Propagation in Bayesian Networks
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AAAI
1996
13 years 6 months ago
Goal Oriented Symbolic Propagation in Bayesian Networks
The paper presents an efficient goal oriented algorithm for symbolic propagation in Bayesian networks. The proposed algorithm performs symbolic propagation using numerical methods...
Enrique Castillo, José Manuel Gutiér...
ICML
1996
IEEE
14 years 5 months ago
Learning Goal Oriented Bayesian Networks for Telecommunications Risk Management
This paper discusses issues related to Bayesian network model learning for unbalanced binary classification tasks. In general, the primary focus of current research on Bayesian ne...
Kazuo J. Ezawa, Moninder Singh, Steven W. Norton
ECSQARU
1995
Springer
13 years 8 months ago
Parametric Structure of Probabilities in Bayesian Networks
The paper presents a method for uncertainty propagation in Bayesian networks in symbolic, as opposed to numeric, form. The algebraic structure of probabilities is characterized. Th...
Enrique Castillo, José Manuel Gutiér...
IVA
2009
Springer
13 years 11 months ago
Duality of Actor and Character Goals in Virtual Drama
Actor agents in a virtual reality and interactive drama must deliver a believable performance. This is challenging and many issues need to be resolved. One prominent problem is tha...
María Arinbjarnar, Daniel Kudenko
UAI
2004
13 years 6 months ago
An Empirical Evaluation of Possible Variations of Lazy Propagation
As real-world Bayesian networks continue to grow larger and more complex, it is important to investigate the possibilities for improving the performance of existing algorithms of ...
Andres Madsen