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SIAMCOMP
2000
88views more  SIAMCOMP 2000»
15 years 4 months ago
Gadgets, Approximation, and Linear Programming
We present a linear programming-based method for nding \gadgets", i.e., combinatorial structures reducing constraints of one optimization problem to constraints of another. A...
Luca Trevisan, Gregory B. Sorkin, Madhu Sudan, Dav...
PVM
2010
Springer
15 years 3 months ago
Massively Parallel Finite Element Programming
Abstract. Today’s large finite element simulations require parallel algorithms to scale on clusters with thousands or tens of thousands of processor cores. We present data struc...
Timo Heister, Martin Kronbichler, Wolfgang Bangert...
CDC
2010
IEEE
139views Control Systems» more  CDC 2010»
15 years 3 days ago
Q-learning and enhanced policy iteration in discounted dynamic programming
We consider the classical finite-state discounted Markovian decision problem, and we introduce a new policy iteration-like algorithm for finding the optimal state costs or Q-facto...
Dimitri P. Bertsekas, Huizhen Yu
ICDE
2011
IEEE
234views Database» more  ICDE 2011»
14 years 8 months ago
Massively parallel XML twig filtering using dynamic programming on FPGAs
Abstract— In recent years, XML-based Publish-Subscribe Systems have become popular due to the increased demand of timely event-notification. Users (or subscribers) pose complex ...
Roger Moussalli, Mariam Salloum, Walid A. Najjar, ...
ACL
1996
15 years 6 months ago
Linguistic Structure as Composition and Perturbation
This paper discusses the problem of learning language from unprocessed text and speech signals, concentrating on the problem of learning a lexicon. In particular, it argues for a ...
Carl de Marcken