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  An experimental and theoretical comparison of model selection methods (1997) [88 citations — 6 self]

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by Michael Kearns, Yishay Mansour, Andrew Y. Ng, Dana Ron
Machine Learning
http://www.cs.huji.ac.il/labs/learning/Papers/methods-colt95.ps.gz
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Abstract:

In the model selection problem, we must balance the complexity of a statistical model with its goodness of fit to the training data. This problem arises repeatedly in statistical estimation,

Citations

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