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WSC
1998
15 years 7 months ago
Adaptive Stochastic Manpower Scheduling
Bayesian forecasting models provide distributional estimates for random parameters, and relative to classical schemes, have the advantage that they can rapidly capture changes in ...
Elmira Popova, David P. Morton
TIT
1998
77views more  TIT 1998»
15 years 6 months ago
Detection of Stochastic Processes
— This paper reviews two streams of development, from the 1940’s to the present, in signal detection theory: the structure of the likelihood ratio for detecting signals in nois...
Thomas Kailath, H. Vincent Poor
PE
2011
Springer
266views Optimization» more  PE 2011»
15 years 1 months ago
Lumping partially symmetrical stochastic models
Performance and dependability evaluation of complex systems by means of dynamic stochastic models (e.g. Markov chains) may be impaired by the combinatorial explosion of their stat...
Souheib Baarir, Marco Beccuti, Claude Dutheillet, ...
INFOCOM
2010
IEEE
15 years 4 months ago
Energy-Conserving Scheduling in Multi-hop Wireless Networks with Time-Varying Channels
Abstract— MaxWeight algorithm, a.k.a., back-pressure algorithm, has received much attention as a viable solution for dynamic link scheduling in multi-hop wireless networks. The b...
Yang Song, Chi Zhang, Yuguang Fang, Zhisheng Niu
LION
2009
Springer
115views Optimization» more  LION 2009»
16 years 29 days ago
Flexible Stochastic Local Search for Haplotype Inference
Abstract. Haplotype Inference is a challenging problem in bioinformatics that consists in inferring the basic genetic constitution of diploid organisms on the basis of their genoty...
Luca Di Gaspero, Andrea Roli