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UAI
2004
13 years 8 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
AI
2008
Springer
13 years 6 months ago
MEBN: A language for first-order Bayesian knowledge bases
Although classical first-order logic is the de facto standard logical foundation for artificial intelligence, the lack of a built-in, semantically grounded capability for reasonin...
Kathryn B. Laskey
IJAR
2008
83views more  IJAR 2008»
13 years 7 months ago
Decision-theoretic specification of credal networks: A unified language for uncertain modeling with sets of Bayesian networks
Credal networks are models that extend Bayesian nets to deal with imprecision in probability, and can actually be regarded as sets of Bayesian nets. Credal nets appear to be power...
Alessandro Antonucci, Marco Zaffalon
FUIN
2008
108views more  FUIN 2008»
13 years 6 months ago
Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques
Causal relations are present in many application domains. Causal Probabilistic Logic (CP-logic) is a probabilistic modeling language that is especially designed to express such rel...
Wannes Meert, Jan Struyf, Hendrik Blockeel
TCSV
2008
161views more  TCSV 2008»
13 years 7 months ago
Dynamic Facial Expression Analysis and Synthesis With MPEG-4 Facial Animation Parameters
This paper describes a probabilistic framework for faithful reproduction of dynamic facial expressions on a synthetic face model with MPEG-4 facial animation parameters (FAPs) whil...
Yongmian Zhang, Qiang Ji, Zhiwei Zhu, Beifang Yi