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» Online stochastic optimization under time constraints
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ICASSP
2011
IEEE
13 years 16 days 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»
13 years 8 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»
13 years 8 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
14 years 10 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
14 years 2 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