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» Approximation Algorithms for Temporal Reasoning
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ECML
2004
Springer
15 years 8 months ago
Filtered Reinforcement Learning
Reinforcement learning (RL) algorithms attempt to assign the credit for rewards to the actions that contributed to the reward. Thus far, credit assignment has been done in one of t...
Douglas Aberdeen
AAAI
2010
15 years 4 months ago
New Mini-Bucket Partitioning Heuristics for Bounding the Probability of Evidence
Mini-Bucket Elimination (MBE) is a well-known approximation algorithm deriving lower and upper bounds on quantities of interest over graphical models. It relies on a procedure tha...
Emma Rollon, Rina Dechter
TIME
2003
IEEE
15 years 7 months ago
Hybrid Logics on Linear Structures: Expressivity and Complexity
We investigate expressivity and complexity of hybrid logics on linear structures. Hybrid logics are an enrichment of modal logics with certain first-order features which are algo...
Massimo Franceschet, Maarten de Rijke, Bernd-Holge...
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DLOG
1998
15 years 3 months ago
Using Description Logics for Indexing Audiovisual Documents
Abstract We address the problem of indexing broadcast audiovisual documents (such as films, news). Starting from a collection of so-called shots, we aim at building automatically h...
Jean Carrive, François Pachet, Rémi ...
CORR
2006
Springer
123views Education» more  CORR 2006»
15 years 2 months ago
Counting good truth assignments of random k-SAT formulae
We present a deterministic approximation algorithm to compute logarithm of the number of `good' truth assignments for a random k-satisfiability (k-SAT) formula in polynomial ...
Andrea Montanari, Devavrat Shah