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121
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NIPS
2004
15 years 5 months ago
Optimal Aggregation of Classifiers and Boosting Maps in Functional Magnetic Resonance Imaging
We study a method of optimal data-driven aggregation of classifiers in a convex combination and establish tight upper bounds on its excess risk with respect to a convex loss funct...
Vladimir Koltchinskii, Manel Martínez-Ram&o...
139
Voted
DYNAMO
2000
87views more  DYNAMO 2000»
15 years 5 months ago
Overcoming the Challenges to Feedback-Directed Optimization
Feedback-directed optimization (FDO) is a general term used to describe any technique that alters a program's execution based on tendencies observed in its present or past ru...
Michael D. Smith
106
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WSC
1997
15 years 5 months ago
Simulation Optimization: Methods and Applications
Simulation optimization can be defined as the process of finding the best input variable values from among all possibilities without explicitly evaluating each possibility. The ob...
Yolanda Carson, Anu Maria
123
Voted
ANTSW
2008
Springer
15 years 4 months ago
Rigorous Analyses for the Combination of Ant Colony Optimization and Local Search
Abstract. Ant colony optimization (ACO) is a metaheuristic that produces good results for a wide range of combinatorial optimization problems. Often such successful applications us...
Frank Neumann, Dirk Sudholt, Carsten Witt
117
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AIPS
2009
15 years 4 months ago
Ant Search Strategies For Planning Optimization
In this paper a planning framework based on Ant Colony Optimization techniques is presented. It is well known that finding optimal solutions to planning problems is a very hard co...
Marco Baioletti, Alfredo Milani, Valentina Poggion...