Journal Article10.1016/J.NEUCOM.2014.04.066
LG-Trader
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TL;DR: The LG-Trader is proposed which will deal with two major machine learning research problems for stock trading decision support: classifier architecture selection and feature selection simultaneously using a genetic algorithm minimizing a new Weighted Localized Generalization Error (wL-GEM).
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About: This article is published in Neurocomputing. The article was published on 25 Dec 2014. The article focuses on the topics: Trading strategy & Algorithmic trading.
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References
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