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EURONGI
2005
Springer
16 years 3 days ago
An Afterstates Reinforcement Learning Approach to Optimize Admission Control in Mobile Cellular Networks
We deploy a novel Reinforcement Learning optimization technique based on afterstates learning to determine the gain that can be achieved by incorporating movement prediction inform...
José Manuel Giménez-Guzmán, J...
IOR
2010
94views more  IOR 2010»
15 years 3 months ago
Utility-Maximizing Resource Control: Diffusion Limit and Asymptotic Optimality for a Two-Bottleneck Model
We study a stochastic network that consists of two servers shared by two classes of jobs. Class 1 jobs require a concurrent occupancy of both servers while class 2 jobs use one se...
Heng-Qing Ye, David D. Yao
HYBRID
2004
Springer
15 years 12 months ago
Dynamic Partitioning of Large Discrete Event Biological Systems for Hybrid Simulation and Analysis
Abstract. Biological systems involving genetic reactions are large discrete event systems, and often contain certain species that occur in small quantities, and others that occur i...
Natasha A. Neogi
ECML
2007
Springer
16 years 23 days ago
Optimizing Feature Sets for Structured Data
Choosing a suitable feature representation for structured data is a non-trivial task due to the vast number of potential candidates. Ideally, one would like to pick a small, but in...
Ulrich Rückert, Stefan Kramer
CN
2007
88views more  CN 2007»
15 years 6 months ago
Channel sharing by multi-class rate adaptive streams: Performance region and optimization
We consider the problem of channel sharing by rate adaptive streams belonging to various classes. The performance measure per class is the average scaled bandwidth allocated to co...
Nikos Argiriou, Leonidas Georgiadis