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AI
2011
Springer
13 years 1 months ago
Parallelizing a Convergent Approximate Inference Method
Probabilistic inference in graphical models is a prevalent task in statistics and artificial intelligence. The ability to perform this inference task efficiently is critical in l...
Ming Su, Elizabeth Thompson
CDC
2010
IEEE
136views Control Systems» more  CDC 2010»
13 years 5 months ago
Pathologies of temporal difference methods in approximate dynamic programming
Approximate policy iteration methods based on temporal differences are popular in practice, and have been tested extensively, dating to the early nineties, but the associated conve...
Dimitri P. Bertsekas
LICS
1987
IEEE
14 years 1 months ago
A Framework for Defining Logics
The Edinburgh Logical Framework (LF) provides a means to define (or present) logics. It is based on a general treatment of syntax, rules, and proofs by means of a typed -calculus ...
Robert Harper, Furio Honsell, Gordon D. Plotkin
ECCV
2004
Springer
14 years 3 months ago
Combining Simple Models to Approximate Complex Dynamics
Stochastic tracking of structured models in monolithic state spaces often requires modeling complex distributions that are difficult to represent with either parametric or sample...
Leonid Taycher, John W. Fisher III, Trevor Darrell
ECAI
2008
Springer
13 years 12 months ago
Approximate structure preserving semantic matching
Abstract. Typical ontology matching applications, such as ontology integration, focus on the computation of correspondences holding between the nodes of two graph-like structures, ...
Fausto Giunchiglia, Mikalai Yatskevich, Fiona McNe...