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» A lookahead strategy for solving large planning problems
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PAAPP
2002
76views more  PAAPP 2002»
14 years 9 months ago
Performance of PDE solvers on a self-optimizing NUMA architecture
Abstract. The performance of shared-memory (OpenMP) implementations of three different PDE solver kernels representing finite difference methods, finite volume methods, and spectra...
Sverker Holmgren, Markus Nordén, Jarmo Rant...
CORR
2011
Springer
175views Education» more  CORR 2011»
14 years 4 months ago
A Novel Probabilistic Pruning Approach to Speed Up Similarity Queries in Uncertain Databases
Abstract— In this paper, we propose a novel, effective and efficient probabilistic pruning criterion for probabilistic similarity queries on uncertain data. Our approach support...
Thomas Bernecker, Tobias Emrich, Hans-Peter Kriege...
WCE
2007
14 years 10 months ago
Scenario Generation Employing Copulas
—Multistage stochastic programs are effective for solving long-term planning problems under uncertainty. Such programs are usually based on scenario generation model about future...
Kristina Sutiene, Henrikas Pranevicius
AAAI
2008
14 years 12 months ago
Perpetual Learning for Non-Cooperative Multiple Agents
This paper examines, by argument, the dynamics of sequences of behavioural choices made, when non-cooperative restricted-memory agents learn in partially observable stochastic gam...
Luke Dickens
ICCAD
2003
IEEE
99views Hardware» more  ICCAD 2003»
15 years 2 months ago
A Probabilistic Approach to Buffer Insertion
This work presents a formal probabilistic approach for solving optimization problems in design automation. Prediction accuracy is very low especially at high levels of design flo...
Vishal Khandelwal, Azadeh Davoodi, Akash Nanavati,...