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GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
13 years 7 months ago
Genetic programming for quantitative stock selection
We provide an overview of using genetic programming (GP) to model stock returns. Our models employ GP terminals (model decision variables) that are financial factors identified by...
Ying L. Becker, Una-May O'Reilly
ICDAR
2009
IEEE
13 years 7 months ago
Language Model Integration for the Recognition of Handwritten Medieval Documents
Building recognition systems for historical documents is a difficult task. Especially, when it comes to medieval scripts. The complexity is mainly affected by the poor quality and...
Markus Wüthrich, Marcus Liwicki, Andreas Fisc...
ICCV
2003
IEEE
14 years 11 months ago
Object Recognition with Informative Features and Linear Classification
In this paper we show that efficient object recognition can be obtained by combining informative features with linear classification. The results demonstrate the superiority of in...
Michel Vidal-Naquet, Shimon Ullman
ICML
2009
IEEE
14 years 10 months ago
Near-Bayesian exploration in polynomial time
We consider the exploration/exploitation problem in reinforcement learning (RL). The Bayesian approach to model-based RL offers an elegant solution to this problem, by considering...
J. Zico Kolter, Andrew Y. Ng
GLOBECOM
2008
IEEE
14 years 4 months ago
Collusion-Resistant Multi-Winner Spectrum Auction for Cognitive Radio Networks
—In order to fully utilize spectrum, auction-based dynamic spectrum allocation has become a promising approach which allows unlicensed wireless users to lease unused bands from s...
Yongle Wu, Beibei Wang, K. J. Ray Liu, T. Charles ...