Open-source machine learning: R meets Weka
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Bibliographic InfoArticle provided by Springer in its journal Computational Statistics.
Volume (Year): 24 (2009)
Issue (Month): 2 (May)
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Web page: http://www.springerlink.com/link.asp?id=120306
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- Rashid Mehmood & Muhammad Riaz & Ronald Does, 2013. "Efficient power computation for r out of m runs rules schemes," Computational Statistics, Springer, vol. 28(2), pages 667-681, April.
- Thomas Grubinger & Achim Zeileis & Karl-Peter Pfeiffer, 2011. "evtree: Evolutionary Learning of Globally Optimal Classification and Regression Trees in R," Working Papers 2011-20, Faculty of Economics and Statistics, University of Innsbruck.
- Simon Urbanek, 2009. "How to talk to strangers: ways to leverage connectivity between R, Java and Objective C," Computational Statistics, Springer, vol. 24(2), pages 303-311, May.
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