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» A structured multiarmed bandit problem and the greedy policy
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PKDD
2009
Springer
184views Data Mining» more  PKDD 2009»
13 years 12 months ago
Boosting Active Learning to Optimality: A Tractable Monte-Carlo, Billiard-Based Algorithm
Abstract. This paper focuses on Active Learning with a limited number of queries; in application domains such as Numerical Engineering, the size of the training set might be limite...
Philippe Rolet, Michèle Sebag, Olivier Teyt...
ICC
2008
IEEE
169views Communications» more  ICC 2008»
14 years 1 months ago
Optimality of Myopic Sensing in Multi-Channel Opportunistic Access
—We consider opportunistic communications over multiple channels where the state (“good” or “bad”) of each channel evolves as independent and identically distributed Mark...
Tara Javidi, Bhaskar Krishnamachari, Qing Zhao, Mi...
IOR
2007
95views more  IOR 2007»
13 years 7 months ago
Index Policies for Shooting Problems
We consider a scenario in which a single Red wishes to shoot at a collection of Blue targets, one at a time, to maximise some measure of return obtained from Blues killed before R...
Kevin D. Glazebrook, Christopher Kirkbride, H. M. ...
ICASSP
2008
IEEE
14 years 1 months ago
Link throughput of multi-channel opportunistic access with limited sensing
—We aim to characterize the maximum link throughput of a multi-channel opportunistic communication system. The states of these channels evolve as independent and identically dist...
Keqin Liu, Qing Zhao
CORR
2011
Springer
198views Education» more  CORR 2011»
12 years 11 months ago
Decentralized Online Learning Algorithms for Opportunistic Spectrum Access
—The fundamental problem of multiple secondary users contending for opportunistic spectrum access over multiple channels in cognitive radio networks has been formulated recently ...
Yi Gai, Bhaskar Krishnamachari