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» Learning of Resource Allocation Strategies for Game Playing
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PKDD
2009
Springer
184views Data Mining» more  PKDD 2009»
13 years 10 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...
INFOCOM
2007
IEEE
13 years 11 months ago
Malicious Users in Unstructured Networks
—Unstructured networks (like ad-hoc or peer-to-peer networks) are networks without centralized control of their operation. Users make local decisions regarding whether to follow ...
George Theodorakopoulos, John S. Baras
TWC
2008
120views more  TWC 2008»
13 years 5 months ago
A cartel maintenance framework to enforce cooperation in wireless networks with selfish users
Abstract-- In distributed wireless networks without centralized control, each user is its own authority to maximize its own performance. This distributed characteristic provides th...
Zhu Han, Zhu Ji, K. J. Ray Liu
GECCO
2006
Springer
134views Optimization» more  GECCO 2006»
13 years 9 months ago
The Baldwin effect under spatial isolation and autonomous reproduction
The impact of learning on evolution in dynamic environments undergoes recognized stages of the Baldwin Effect although its cause is not clear. To identify it experimentally, we de...
H. L. Peng, J. C. Tay
CORR
2010
Springer
157views Education» more  CORR 2010»
13 years 3 months ago
Stochastic Budget Optimization in Internet Advertising
Internet advertising is a sophisticated game in which the many advertisers "play" to optimize their return on investment. There are many "targets" for the adve...
Bhaskar DasGupta, S. Muthukrishnan