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» Adaptive critics for dynamic optimization
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CIA
2006
Springer
15 years 8 months ago
Learning to Negotiate Optimally in Non-stationary Environments
Abstract. We adopt the Markov chain framework to model bilateral negotiations among agents in dynamic environments and use Bayesian learning to enable them to learn an optimal stra...
Vidya Narayanan, Nicholas R. Jennings
ANOR
2010
102views more  ANOR 2010»
15 years 5 months ago
Ejection chain and filter-and-fan methods in combinatorial optimization
The design of effective neighborhood structures is fundamentally important for creating better local search and metaheuristic algorithms for combinatorial optimization. Significant...
César Rego, Fred Glover
ICIP
2008
IEEE
15 years 11 months ago
A new theoretic framework for cross-layer optimization
Cross-layer optimization aims at improving the performance of network users operating in a time-varying, error-prone wireless environment. However, current solutions often rely on...
Fangwen Fu, Mihaela van der Schaar
MSWIM
2004
ACM
15 years 10 months ago
IEEE 802.11 rate adaptation: a practical approach
Today, three different physical (PHY) layers for the IEEE 802.11 WLAN are available (802.11a/b/g); they all provide multi-rate capabilities. To achieve a high performance under v...
Mathieu Lacage, Mohammad Hossein Manshaei, Thierry...
ICMCS
2005
IEEE
99views Multimedia» more  ICMCS 2005»
15 years 10 months ago
Finding the Optimal Temporal Partitioning of Video Sequences
The existing techniques for shot partitioning either process each shot boundary independently or proceed sequentially. The sequential process assumes the last shot boundary is cor...
Ba Tu Truong, Svetha Venkatesh