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» Online stochastic optimization under time constraints
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ICASSP
2011
IEEE
14 years 3 months ago
Reinforcement learning for energy-efficient wireless transmission
We consider the problem of energy-efficient point-to-point transmission of delay-sensitive data (e.g. multimedia data) over a fading channel. We propose a rigorous and unified fra...
Nicholas Mastronarde, Mihaela van der Schaar
SCHEDULING
2008
97views more  SCHEDULING 2008»
14 years 11 months ago
Effective on-line algorithms for reliable due date quotation and large-scale scheduling
We consider the sequencing of a series of jobs that arrive at a single processor over time. At each job's arrival time, a due date must be quoted for the job, and the job must...
Philip Kaminsky, Zu-Hsu Lee
ML
2007
ACM
192views Machine Learning» more  ML 2007»
14 years 11 months ago
Annealing stochastic approximation Monte Carlo algorithm for neural network training
We propose a general-purpose stochastic optimization algorithm, the so-called annealing stochastic approximation Monte Carlo (ASAMC) algorithm, for neural network training. ASAMC c...
Faming Liang
ICIP
2003
IEEE
16 years 1 months ago
Linear approximations for rate control in video coding
An efficient method for rate control is illustrated for joint source-channel rate selection and for encoding under multiple leaky bucket buffer constraints. This method shows adva...
Yegnaswamy Sermadevi, Sheila S. Hemami
INFOCOM
2005
IEEE
15 years 5 months ago
Optimal utility based multi-user throughput allocation subject to throughput constraints
— We consider the problem of scheduling multiple users sharing a time-varying wireless channel. (As an example, this is a model of scheduling in 3G wireless technologies, such as...
Matthew Andrews, Lijun Qian, Alexander L. Stolyar