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GECCO
2008
Springer
103views Optimization» more  GECCO 2008»
13 years 12 months ago
Empirical investigations on parallel competent genetic algorithms
This paper empirically investigates parallel competent genetic algorithms (cGAs) [4]. cGAs, such as BOA [21], LINCGA [15], D5 -GA [28], can solve GA-difficult problems by automati...
Miwako Tsuji, Masaharu Munetomo, Kiyoshi Akama
ICFP
2010
ACM
13 years 12 months ago
A fresh look at programming with names and binders
A wide range of computer programs, including compilers and theorem provers, manipulate data structures that involve names and binding. However, the design of programming idioms wh...
Nicolas Pouillard, François Pottier
ICML
2010
IEEE
13 years 12 months ago
Bayesian Multi-Task Reinforcement Learning
We consider the problem of multi-task reinforcement learning where the learner is provided with a set of tasks, for which only a small number of samples can be generated for any g...
Alessandro Lazaric, Mohammad Ghavamzadeh
SIGIR
2010
ACM
13 years 11 months ago
Learning to rank query reformulations
Query reformulation techniques based on query logs have recently proven to be effective for web queries. However, when initial queries have reasonably good quality, these techniqu...
Van Dang, Michael Bendersky, W. Bruce Croft
SYSTOR
2010
ACM
13 years 11 months ago
Empirical quantification of opportunities for content adaptation in web servers
A basic problem in the management of web servers is capacity planning: you want enough capacity to be able to serve peak loads, but not too much so as to avoid excessive costs. It...
Michael Gopshtein, Dror G. Feitelson