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COLT
2010
Springer
15 years 4 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»
15 years 1 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
152
Voted
TWC
2010
15 years 1 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»
16 years 1 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
16 years 26 days 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...