Overfitting and Undercomputing in Machine Learning (1995)

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by Tom Dietterich
Venue:Computing Surveys
Citations:26 - 0 self

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14 Model selection using Rademacher Penalization – Fernando Lozano - 2000
Model Selection and Model Complexity: Identifying Truth Within A Space Saturated with Random Models – Paul Helman
109 An experimental and theoretical comparison of model selection methods. Machine Learning 27 – Michael Kearns, Yishay Mansour Y, Andrew Y. Ng, Dana Ron Z - 1997
2 Knowledge Acquisition From Complex Domains By Combining Inductive Learning and Theory Revision – Xiaolong Zhang, Xiaolong Zhang, Masayuki Numao, Masayuki Numao - 1997
1 Constructing Conjunctions using Systematic Search on Decision Trees – Z. Zheng - 1998
7 Constructing New Attributes for Decision Tree Learning – Zijian Zheng - 1996
2 Machine Learning as Massive Search – Richard B. Segal - 1997
27 Occam's Two Razors: The Sharp and the Blunt – Pedro Domingos - 1998
38 Simplifying Decision Trees: A Survey – Leonard A. Breslow, David W. Aha - 1996
13 Pruning decision trees and lists – Eibe Frank - 2000
74 Multiple Comparisons in Induction Algorithms – David Jensen, Paul R. Cohen - 1998
78 The role of Occam’s Razor in knowledge discovery – Pedro Domingos - 1999
c ○ 2000 Kluwer Academic Publishers. Printed in The Netherlands. Multiple Comparisons in Induction Algorithms – David D. Jensen, Paul R. Cohen
4 EXPLANATORY AND CREATIVE ALTERNATIVES TO THE MDL PRINCIPLE – JOSÉ HERNÁNDEZ-ORALLO , ISMAEL GARCÍA-VAREA - 2000
72 The Minimum Description Length Principle and Reasoning under Uncertainty – Peter Daniel Grünwald - 1998
13 Suboptimal behavior of Bayes and MDL in classification under misspecification – Peter Grünwald, John Langford - 2004
12 Viewing All Models as `Probabilistic' – Peter Grünwald - 1999
58 A tutorial introduction to the minimum description length principle – Peter Grünwald
Computational Suspiciousness of Learning in Artificial Neural Nets – S. Fanelli, P. Frasconi, M. Gori, M. Protasi, Universit`a Tor Vergata - 1998