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Seminar: Modellwahlkriterien WS2009/10

 

Material

 

Steven Salzberg: On Comparing Classifiers: Pitfalls to Avoid and a Recommended Approach. Data Min. Knowl. Discov. 1 (3): 317-328 (1997)[pdf]
Ron Kohavi: A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection, in 'Proceedings of the International Joint Conference on Artificial Intelligence - IJCAI'95' (1995)[pdf]
Michael Kearns, Yishay Mansour, Andrew Ng, Dana Ron, M. Long: An Experimental and Theoretical Comparison of Model Selection Methods, Machine Learning, 21-30 (1997) [pdf]
Robert Tibshirani: Regression Shrinkage and Selection via the Lasso, Journal of the Royal Statistical Society, Series B, 58(1), 267–288 (1996)[pdf]
Ruschhaupt M, Huber W, Poustka A, Mansmann U. (2004): „A compendium to ensure computational reproducibility in high-dimensional classification tasks“, Stat Appl Genet Mol Biol. 3: Article 37[pdf]
Torsten Hothorn, Friedrich Leisch, Achim Zeileis and Kurt Hornik: The Design and Analysis of Benchmark Experiments, Journal of Computational and Graphical Statistics 14(3), 675–699 (2005)[pdf]
Kurt Hornik and David Meyer, Deriving Consensus Rankings from Benchmarking Experiments, Department of Statistics and Mathematics Wirtschaftsuniversität Wien, Research Report Series, Report 33 (2006)[pdf]
Bühlmann, P. and Hothorn, T.:Boosting algorithms: Regularization, prediction and model fitting, Statistical Science, 22(4):477-505 (2007)[pdf]