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PERCOM
2007
ACM
14 years 8 months ago
Sensor Scheduling for Optimal Observability Using Estimation Entropy
We consider sensor scheduling as the optimal observability problem for partially observable Markov decision processes (POMDP). This model fits to the cases where a Markov process ...
Mohammad Rezaeian
GECCO
2005
Springer
135views Optimization» more  GECCO 2005»
14 years 2 months ago
Improving particle swarm optimization with differentially perturbed velocity
This paper introduces a novel scheme of improving the performance of particle swarm optimization (PSO) by a vector differential operator borrowed from differential evolution (DE)....
Swagatam Das, Amit Konar, Uday Kumar Chakraborty
MEMOCODE
2003
IEEE
14 years 2 months ago
Optimizations for Faster Execution of Esterel Programs
Several efficient compilation techniques have been recently proposed for the generation of sequential (C) code from Esterel programs. Consisting essentially in direct simulation ...
Dumitru Potop-Butucaru, Robert de Simone
COLT
2010
Springer
13 years 6 months ago
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
We present a new family of subgradient methods that dynamically incorporate knowledge of the geometry of the data observed in earlier iterations to perform more informative gradie...
John Duchi, Elad Hazan, Yoram Singer
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
13 years 10 months ago
Evolution of discrete gene regulatory models
Gene regulatory networks (GRNs) are complex control systems that govern the interaction of genes, which ultimately control cellular processes at the protein level. GRNs can be ted...
Afshin Esmaeili, Christian Jacob