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JAIR
2010
145views more  JAIR 2010»
13 years 5 months ago
Planning with Noisy Probabilistic Relational Rules
Noisy probabilistic relational rules are a promising world model representation for several reasons. They are compact and generalize over world instantiations. They are usually in...
Tobias Lang, Marc Toussaint
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
CORR
2010
Springer
160views Education» more  CORR 2010»
13 years 7 months ago
Scalable Probabilistic Databases with Factor Graphs and MCMC
Incorporating probabilities into the semantics of incomplete databases has posed many challenges, forcing systems to sacrifice modeling power, scalability, or treatment of relatio...
Michael L. Wick, Andrew McCallum, Gerome Miklau
LPNMR
2005
Springer
14 years 26 days ago
Revisiting the Semantics of Interval Probabilistic Logic Programs
Two approaches to logic programming with probabilities emerged over time: bayesian reasoning and probabilistic satisfiability (PSAT). The attractiveness of the former is in tying ...
Alex Dekhtyar, Michael I. Dekhtyar
CVPR
2003
IEEE
14 years 9 months ago
Tracking Appearances with Occlusions
Occlusion is a difficult problem for appearance-based target tracking, especially when we need to track multiple targets simultaneously and maintain the target identities during t...
Ying Wu, Ting Yu, Gang Hua