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GECCO
2007
Springer
200views Optimization» more  GECCO 2007»
15 years 6 months ago
Adaptive variance scaling in continuous multi-objective estimation-of-distribution algorithms
Recent research into single–objective continuous Estimation– of–Distribution Algorithms (EDAs) has shown that when maximum–likelihood estimations are used for parametric d...
Peter A. N. Bosman, Dirk Thierens
104
Voted
SIGECOM
2004
ACM
120views ECommerce» more  SIGECOM 2004»
15 years 5 months ago
Robust incentive techniques for peer-to-peer networks
Lack of cooperation (free riding) is one of the key problems that confronts today’s P2P systems. What makes this problem particularly difficult is the unique set of challenges ...
Michal Feldman, Kevin Lai, Ion Stoica, John Chuang
ICTAI
2000
IEEE
15 years 4 months ago
Building efficient partial plans using Markov decision processes
Markov Decision Processes (MDP) have been widely used as a framework for planning under uncertainty. They allow to compute optimal sequences of actions in order to achieve a given...
Pierre Laroche
118
Voted
INFOCOM
2003
IEEE
15 years 5 months ago
Network Management Information For Light-Path Assessment: Trade-off between Performance and Complexity
We investigate network management information for light-path assessment to dynamically set up end-to-end lightpaths across administrative domains. Our focus is on invetigating what...
Guanglei Liu, Chuanyi Ji, Vincent W. S. Chan
ECCV
2008
Springer
16 years 2 months ago
Continuous Energy Minimization Via Repeated Binary Fusion
Abstract. Variational problems, which are commonly used to solve lowlevel vision tasks, are typically minimized via a local, iterative optimization strategy, e.g. gradient descent....
Werner Trobin, Thomas Pock, Daniel Cremers, Horst ...