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» Hybrid Optimizations: Which Optimization Algorithm to Use
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PKDD
2009
Springer
184views Data Mining» more  PKDD 2009»
15 years 7 months ago
Boosting Active Learning to Optimality: A Tractable Monte-Carlo, Billiard-Based Algorithm
Abstract. This paper focuses on Active Learning with a limited number of queries; in application domains such as Numerical Engineering, the size of the training set might be limite...
Philippe Rolet, Michèle Sebag, Olivier Teyt...
116
Voted
MP
2006
75views more  MP 2006»
15 years 3 months ago
A Class of stochastic programs with decision dependent uncertainty
We address a class of problems where decisions have to be optimized over a time horizon given that the future is uncertain and that the optimization decisions influence the time o...
Vikas Goel, Ignacio E. Grossmann
146
Voted
AAAI
2010
15 years 4 months ago
Bayesian Policy Search for Multi-Agent Role Discovery
Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...
Aaron Wilson, Alan Fern, Prasad Tadepalli
GECCO
2008
Springer
101views Optimization» more  GECCO 2008»
15 years 4 months ago
Technical market indicators optimization using evolutionary algorithms
Pablo Fernández-Blanco, Diego J. Bodas-Sagi...
EMO
2003
Springer
93views Optimization» more  EMO 2003»
15 years 8 months ago
Intensity Modulated Beam Radiation Therapy Dose Optimization with Multiobjective Evolutionary Algorithms
We apply the NSGA-II algorithm and its controlled elitist version NSGA-IIc for the intensity modulated beam radiotherapy dose optimization problem. We compare the performance of th...
Michael Lahanas, Eduard Schreibmann, Natasa Milick...