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AIPS
2009
13 years 4 months ago
Suboptimal and Anytime Heuristic Search on Multi-Core Machines
In order to scale with modern processors, planning algorithms must become multi-threaded. In this paper, we present parallel shared-memory algorithms for two problems that underli...
Ethan Burns, Seth Lemons, Wheeler Ruml, Rong Zhou
AIPS
2010
13 years 6 months ago
The Joy of Forgetting: Faster Anytime Search via Restarting
Anytime search algorithms solve optimisation problems by quickly finding a usually suboptimal solution and then finding improved solutions when given additional time. To deliver a...
Silvia Richter, Jordan Tyler Thayer, Wheeler Ruml
ECML
2006
Springer
13 years 7 months ago
An Efficient Approximation to Lookahead in Relational Learners
Abstract. Greedy machine learning algorithms suffer from shortsightedness, potentially returning suboptimal models due to limited exploration of the search space. Greedy search mis...
Jan Struyf, Jesse Davis, C. David Page Jr.
SPATIALCOGNITION
2000
Springer
13 years 7 months ago
Interactive Layout Generation with a Diagrammatic Constraint Language
The paper analyzes a diagrammatic reasoning problem that consists in finding a graphical layout which simultaneously satisfies a set of constraints expressed in a formal language a...
Christoph Schlieder, Cornelius Hagen