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COLT
2010
Springer
14 years 8 months ago
An Asymptotically Optimal Bandit Algorithm for Bounded Support Models
Multiarmed bandit problem is a typical example of a dilemma between exploration and exploitation in reinforcement learning. This problem is expressed as a model of a gambler playi...
Junya Honda, Akimichi Takemura
TNN
2010
176views Management» more  TNN 2010»
14 years 4 months ago
Sparse approximation through boosting for learning large scale kernel machines
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
Ping Sun, Xin Yao
TWC
2010
14 years 4 months ago
Rateless coding for hybrid free-space optical and radio-frequency communication
Abstract--Free-space optical (FSO) transmission systems enable high-speed communication with relatively small deployment costs. However, FSO suffers a critical disadvantage, namely...
Ali AbdulHussein, Anand Oka, Trung Thanh Nguyen 00...
ESA
2009
Springer
98views Algorithms» more  ESA 2009»
15 years 4 months ago
The Oil Searching Problem
Given n potential oil locations, where each has oil at a certain depth, we seek good trade-offs between the number of oil sources found and the total amount of drilling performed. ...
Andrew McGregor, Krzysztof Onak, Rina Panigrahy
CIKM
2007
Springer
15 years 4 months ago
Just-in-time contextual advertising
Contextual Advertising is a type of Web advertising, which, given the URL of a Web page, aims to embed into the page (typically via JavaScript) the most relevant textual ads avail...
Aris Anagnostopoulos, Andrei Z. Broder, Evgeniy Ga...