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78
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EUROGP
2007
Springer
135views Optimization» more  EUROGP 2007»
15 years 5 months ago
A Grammatical Genetic Programming Approach to Modularity in Genetic Algorithms
The ability of Genetic Programming to scale to problems of increasing difficulty operates on the premise that it is possible to capture regularities that exist in a problem environ...
Erik Hemberg, Conor Gilligan, Michael O'Neill, Ant...
86
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INFORMS
2010
177views more  INFORMS 2010»
14 years 9 months ago
Binarized Support Vector Machines
The widely used Support Vector Machine (SVM) method has shown to yield very good results in Supervised Classification problems. Other methods such as Classification Trees have bec...
Emilio Carrizosa, Belen Martin-Barragan, Dolores R...
84
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SODA
2010
ACM
190views Algorithms» more  SODA 2010»
15 years 8 months ago
One-Counter Markov Decision Processes
We study the computational complexity of some central analysis problems for One-Counter Markov Decision Processes (OC-MDPs), a class of finitely-presented, countable-state MDPs. O...
Tomas Brazdil, Vaclav Brozek, Kousha Etessami, Ant...
CP
2009
Springer
15 years 11 months ago
Confidence-Based Work Stealing in Parallel Constraint Programming
The most popular architecture for parallel search is work stealing: threads that have run out of work (nodes to be searched) steal from threads that still have work. Work stealing ...
Geoffrey Chu, Christian Schulte, Peter J. Stuckey
85
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HEURISTICS
2002
152views more  HEURISTICS 2002»
14 years 10 months ago
A Constraint-Based Method for Project Scheduling with Time Windows
This paper presents a heuristic algorithm for solving RCPSP/max, the resource constrained project scheduling problem with generalized precedence relations. The algorithm relies, a...
Amedeo Cesta, Angelo Oddi, Stephen F. Smith