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» Neural Dynamics with Stochasticity
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111
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GLOBECOM
2010
IEEE
14 years 10 months ago
Adaptive Modulation in Wireless Networks with Smoothed Flow Utility
We investigate flow rate optimization on a wireless link with randomly varying channel gain using techniques from adaptive modulation and network utility maximization. We consider ...
Ekine Akuiyibo, Stephen P. Boyd, Daniel O'Neill
WIOPT
2011
IEEE
14 years 4 months ago
Network utility maximization over partially observable Markovian channels
Abstract—This paper considers maximizing throughput utility in a multi-user network with partially observable Markov ON/OFF channels. Instantaneous channel states are never known...
Chih-Ping Li, Michael J. Neely
114
Voted
EVOW
2012
Springer
13 years 8 months ago
Hyperparameter Tuning in Bandit-Based Adaptive Operator Selection
We are using bandit-based adaptive operator selection while autotuning parallel computer programs. The autotuning, which uses evolutionary algorithm-based stochastic sampling, take...
Maciej Pacula, Jason Ansel, Saman P. Amarasinghe, ...
115
Voted
ICML
2009
IEEE
16 years 1 months ago
Analytic moment-based Gaussian process filtering
We propose an analytic moment-based filter for nonlinear stochastic dynamic systems modeled by Gaussian processes. Exact expressions for the expected value and the covariance matr...
Marc Peter Deisenroth, Marco F. Huber, Uwe D. Hane...
113
Voted
CDC
2009
IEEE
119views Control Systems» more  CDC 2009»
15 years 5 months ago
Linear Parameter Varying Iterative Learning Control
— In this paper an Iterative Learning Control (ILC) algorithm is proposed for a certain class of Linear Parameter Varying (LPV) systems whose dynamics change between iterations. ...
Mark Edward John Butcher, Alireza Karimi