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FLAIRS
2006
13 years 9 months ago
A Hybrid Generative/Discriminative Bayesian Classifier
In this paper, we introduce a new restricted Bayesian network classifier that extends naive Bayes by relaxing the conditional independence assumptions, and show that it is partly ...
Changsung Kang, Jin Tian
APIN
2004
89views more  APIN 2004»
13 years 7 months ago
A Prototypical System for Soft Evidential Update
Autonomous agents that communicate using probabilistic information and use Bayesian networks for knowledge representation need an update mechanism that goes beyond conditioning on ...
Young-Gyun Kim, Marco Valtorta, Jirí Vomlel
MICAI
2007
Springer
14 years 1 months ago
Optimizing Inference in Bayesian Networks and Semiring Valuation Algebras
Previous work on context-specific independence in Bayesian networks is driven by a common goal, namely to represent the conditional probability tables in a most compact way. In th...
Michael Wachter, Rolf Haenni, Marc Pouly
ML
2010
ACM
151views Machine Learning» more  ML 2010»
13 years 6 months ago
Inductive transfer for learning Bayesian networks
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
Roger Luis, Luis Enrique Sucar, Eduardo F. Morales
TNN
1998
114views more  TNN 1998»
13 years 7 months ago
Bayesian retrieval in associative memories with storage errors
Abstract—It is well known that for finite-sized networks, onestep retrieval in the autoassociative Willshaw net is a suboptimal way to extract the information stored in the syna...
Friedrich T. Sommer, Peter Dayan