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168
Voted
TIT
2008
15 years 6 months ago
2008
We address the question of providing throughput guarantees through distributed scheduling, which has remained an open problem for some time. We consider a simple distributed sched...
194
Voted
PKDD
2010
Springer
15 years 5 months ago
2010
Springer
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
167
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AINA
2009
IEEE
16 years 1 months ago
2009
IEEE
— The current internet infrastructure is facing a number of limitations that is not suitable to meet the growing number of services and users. In particular, one aspect that requ...
187
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GLOBECOM
2009
IEEE
16 years 1 months ago
2009
IEEE
—In this paper we look at the problem of accurately reconstructing distributed signals through the collection of a small number of samples at a data gathering point. The techniqu...
188
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ICPPW
2009
IEEE
16 years 1 months ago
2009
IEEE
Abstract— The migration away from power-hungry, speculative execution procesors towards manycore architectures is good news for the embedded and real-time systems community. Comm...