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» Explaining inferences in Bayesian networks
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HCI
2007
13 years 9 months ago
Online Analysis of Hierarchical Events in Meetings
Automatic online analysis of meetings is very important from three points of view: serving as an important archive of a meeting, understanding human interaction processes, and prov...
Xiang Zhang, Guangyou Xu, Xiaoling Xiao, Linmi Tao
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
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
IWANN
2009
Springer
14 years 2 months ago
Bayesian Joint Estimation of CN and LOH Aberrations
SNP-microarrays are able to measure simultaneously both copy number and genotype at several single nucleotide polymorphism positions. Combining the two data, it is possible to bett...
Paola M. V. Rancoita, Marcus Hutter, Francesco Ber...
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