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MICAI
2007
Springer
16 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
AUSAI
2005
Springer
16 years 1 months ago
Conditioning Graphs: Practical Structures for Inference in Bayesian Networks
Abstract. Programmers employing inference in Bayesian networks typically rely on the inclusion of the model as well as an inference engine into their application. Sophisticated inf...
Kevin Grant, Michael C. Horsch
AI
1998
Springer
15 years 12 months ago
Temporally Invariant Junction Tree for Inference in Dynamic Bayesian Network
Abstract. Dynamic Bayesian networks (DBNs) extend Bayesian networks from static domains to dynamic domains. The only known generic method for exact inference in DBNs is based on dy...
Yang Xiang
ECAI
2006
Springer
15 years 11 months ago
Extracting MUCs from Constraint Networks
Abstract. We address the problem of extracting Minimal Unsatisfiable Cores (MUCs) from constraint networks. This computationally hard problem has a practical interest in many appli...
Fred Hemery, Christophe Lecoutre, Lakhdar Sais, Fr...
AUSAI
2006
Springer
15 years 9 months ago
Feedback in Multimodal Self-organizing Networks Enhances Perception of Corrupted Stimuli
Abstract. It is known from psychology and neuroscience that multimodal integration of sensory information enhances the perception of stimuli that are corrupted in one or more modal...
Andrew P. Paplinski, Lennart Gustafsson