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KDD
2007
ACM
192views Data Mining» more  KDD 2007»
16 years 6 months ago
Active exploration for learning rankings from clickthrough data
We address the task of learning rankings of documents from search engine logs of user behavior. Previous work on this problem has relied on passively collected clickthrough data. ...
Filip Radlinski, Thorsten Joachims
EVOW
2009
Springer
16 years 1 months ago
Evolutionary Optimization Guided by Entropy-Based Discretization
The Learnable Evolution Model (LEM) involves alternating periods of optimization and learning, performa extremely well on a range of problems, a specialises in achieveing good resu...
Guleng Sheri, David W. Corne
CEC
2009
IEEE
16 years 1 months ago
Examination timetabling using late acceptance hyper-heuristics
— A hyperheuristic is a high level problem solving methodology that performs a search over the space generated by a set of low level heuristics. One of the hyperheuristic framewo...
Ender Özcan, Yuri Bykov, Murat Birben, Edmund...
ATAL
2009
Springer
16 years 29 days ago
Generalization risk minimization in empirical game models
Experimental analysis of agent strategies in multiagent systems presents a tradeoff between granularity and statistical confidence. Collecting a large amount of data about each s...
Patrick R. Jordan, Michael P. Wellman
SAGT
2009
Springer
113views Game Theory» more  SAGT 2009»
16 years 27 days ago
Games with Congestion-Averse Utilities
Congestion games—in which players strategically choose from a set of “resources” and derive utilities that depend on the congestion on each resource— are important in a wid...
Andrew Byde, Maria Polukarov, Nicholas R. Jennings