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PPSN
2004
Springer
14 years 8 days ago
Indicator-Based Selection in Multiobjective Search
Abstract. This paper discusses how preference information of the decision maker can in general be integrated into multiobjective search. The main idea is to first define the opti...
Eckart Zitzler, Simon Künzli
GECCO
2005
Springer
228views Optimization» more  GECCO 2005»
14 years 13 days ago
Applying metaheuristic techniques to search the space of bidding strategies in combinatorial auctions
Many non-cooperative settings that could potentially be studied using game theory are characterized by having very large strategy spaces and payoffs that are costly to compute. Be...
Ashish Sureka, Peter R. Wurman
ML
2002
ACM
100views Machine Learning» more  ML 2002»
13 years 6 months ago
Structure in the Space of Value Functions
Solving in an efficient manner many different optimal control tasks within the same underlying environment requires decomposing the environment into its computationally elemental ...
David J. Foster, Peter Dayan
ECSQARU
2001
Springer
13 years 11 months ago
Space-Progressive Value Iteration: An Anytime Algorithm for a Class of POMDPs
Abstract. Finding optimal policies for general partially observable Markov decision processes (POMDPs) is computationally difficult primarily due to the need to perform dynamic-pr...
Nevin Lianwen Zhang, Weihong Zhang
BMCBI
2007
166views more  BMCBI 2007»
13 years 7 months ago
How to decide which are the most pertinent overly-represented features during gene set enrichment analysis
Background: The search for enriched features has become widely used to characterize a set of genes or proteins. A key aspect of this technique is its ability to identify correlati...
Roland Barriot, David J. Sherman, Isabelle Dutour