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» Solving Demodulation as an Optimization Problem
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ICASSP
2008
IEEE
15 years 9 months ago
Learning the kernel via convex optimization
The performance of a kernel-based learning algorithm depends very much on the choice of the kernel. Recently, much attention has been paid to the problem of learning the kernel it...
Seung-Jean Kim, Argyrios Zymnis, Alessandro Magnan...
ALDT
2009
Springer
142views Algorithms» more  ALDT 2009»
15 years 9 months ago
Finding Best k Policies
Abstract. An optimal probabilistic-planning algorithm solves a problem, usually modeled by a Markov decision process, by finding its optimal policy. In this paper, we study the k ...
Peng Dai, Judy Goldsmith
ICC
2008
IEEE
161views Communications» more  ICC 2008»
15 years 9 months ago
Joint Power Control and Link Scheduling in Wireless Networks for Throughput Optimization
—This paper concerns the problem of finding the minimum-length TDMA frame of a power-controlled wireless network subject to traffic demands and SINR (signalto-interference-plus...
Liqun Fu, Soung Chang Liew, Jianwei Huang
AAAI
2007
15 years 5 months ago
Optimal Multi-Agent Scheduling with Constraint Programming
We consider the problem of computing optimal schedules in multi-agent systems. In these problems, actions of one agent can influence the actions of other agents, while the object...
Willem Jan van Hoeve, Carla P. Gomes, Bart Selman,...
CCO
2001
Springer
157views Combinatorics» more  CCO 2001»
15 years 7 months ago
Lagrangian Relaxation
Lagrangian relaxation is commonly used in combinatorial optimization to generate lower bounds for a minimization problem. We propose a modified Lagrangian relaxation which used i...
Claude Lemaréchal