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» Domain equations for probabilistic processes
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UAI
1997
13 years 10 months ago
Object-Oriented Bayesian Networks
Bayesian networks provide a modeling language and associated inference algorithm for stochastic domains. They have been successfully applied in a variety of medium-scale applicati...
Daphne Koller, Avi Pfeffer
SIGMOD
2009
ACM
180views Database» more  SIGMOD 2009»
14 years 9 months ago
Indexing correlated probabilistic databases
With large amounts of correlated probabilistic data being generated in a wide range of application domains including sensor networks, information extraction, event detection etc.,...
Bhargav Kanagal, Amol Deshpande
SIAMAM
2000
74views more  SIAMAM 2000»
13 years 8 months ago
Modeling Injection Molding Processes with Deformable Porous Preforms
This paper deduces a new model aimed at simulating injection molding processes under isothermal conditions. These processes can be generally stated as infiltration problems in init...
D. Ambrosi, Luigi Preziosi
FLAIRS
2007
13 years 11 months ago
Probabilistic Task Content Modeling for Episodic Textual Narratives
Episodic knowledge is often stored in the form of textual narratives written in natural language. However, a large repository of such narratives will contain both repetitive and n...
Eni Mustafaraj, Martin Hoof, Bernd Freisleben
HIS
2003
13 years 10 months ago
A Hybrid Approach for Learning Parameters of Probabilistic Networks from Incomplete Databases
– Probabilistic Inference Networks are becoming increasingly popular for modeling and reasoning in uncertain domains. In the past few years, many efforts have been made in learni...
S. Haider