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146
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AUTOMATICA
2007
82views more  AUTOMATICA 2007»
15 years 3 months ago
Simulation-based optimal sensor scheduling with application to observer trajectory planning
The sensor scheduling problem can be formulated as a controlled hidden Markov model and this paper solves the problem when the state, observation and action spaces are continuous....
Sumeetpal S. Singh, Nikolaos Kantas, Ba-Ngu Vo, Ar...
106
Voted
ICONIP
2009
15 years 1 months ago
Quasi-Deterministic Partially Observable Markov Decision Processes
We study a subclass of POMDPs, called quasi-deterministic POMDPs (QDET-POMDPs), characterized by deterministic actions and stochastic observations. While this framework does not mo...
Camille Besse, Brahim Chaib-draa
140
Voted
CCE
2010
15 years 1 months ago
Multi-scale methods and complex processes: A survey and look ahead
AbstrAct A comprehensive overview of numerical methodologies currently available for analyzing and building understanding of complex processes is presented. Both equation-free and ...
Angelo Lucia
CORR
2011
Springer
205views Education» more  CORR 2011»
14 years 10 months ago
On the algebraic numbers computable by some generalized Ehrenfest urns
This article deals with some stochastic population protocols, motivated by theoretical aspects of distributed computing. We modelize the problem by a large urn of black and white ...
Marie Albenque, Lucas Gerin
109
Voted
ICSE
2010
IEEE-ACM
15 years 8 months ago
An empirical study of optimizations in YOGI
Though verification tools are finding industrial use, the utility of engineering optimizations that make them scalable and usable is not widely known. Despite the fact that seve...
Aditya V. Nori, Sriram K. Rajamani