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» Models for Incomplete and Probabilistic Information
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ICDE
2007
IEEE
134views Database» more  ICDE 2007»
16 years 5 months ago
Efficient Top-k Query Evaluation on Probabilistic Data
Modern enterprise applications are forced to deal with unreliable, inconsistent and imprecise information. Probabilistic databases can model such data naturally, but SQL query eva...
Christopher Re, Nilesh N. Dalvi, Dan Suciu
NMR
2004
Springer
15 years 9 months ago
Probabilistic reasoning in dynamic multiagent systems
Probabilistic reasoning with multiply sectioned Bayesian networks (MSBNs) has been successfully applied in static domains under the cooperative multiagent paradigm. Probabilistic ...
Xiangdong An, Yang Xiang, Nick Cercone
CORR
2010
Springer
147views Education» more  CORR 2010»
15 years 4 months ago
Learning Probabilistic Hierarchical Task Networks to Capture User Preferences
While much work on learning in planning focused on learning domain physics (i.e., action models), and search control knowledge, little attention has been paid towards learning use...
Nan Li, William Cushing, Subbarao Kambhampati, Sun...
LMCS
2006
98views more  LMCS 2006»
15 years 4 months ago
Approximate reasoning for real-time probabilistic processes
We develop a pseudo-metric analogue of bisimulation for generalized semi-Markov processes. The kernel of this pseudo-metric corresponds to bisimulation; thus we have extended bisi...
Vineet Gupta, Radha Jagadeesan, Prakash Panangaden
ICPR
2004
IEEE
16 years 5 months ago
Probabilistic Combination of Multiple Modalities to Detect Interest
This paper describes a new approach to combine multiple modalities and applies it to the problem of affect recognition. The problem is posed as a combination of classifiers in a p...
Ashish Kapoor, Rosalind W. Picard, Yuri Ivanov