A New Metric-Based Approach to Model Selection (1997)

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by Dale Schuurmans
Venue:In Proceedings of the Fourteenth National Conference on Artificial Intelligence (AAAI-97
Citations:42 - 5 self

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20 Metric-Based Methods for Adaptive Model Selection and Regularization – Dale Schuurmans, Finnegan Southey - 2001
15 Characterizing the Generalization Performance of Model Selection Strategies – Dale Schuurmans, Lyle H. Ungar, Dean P. Foster - 1997
Characterizing the Generalization Performance of Model Selection Strategies – Dale Schuurmans Institute, Dale E. Schuurmans Y, Lyle H. Ungar, Dean P. Foster - 1997
8 An Adaptive Regularization Criterion for Supervised Learning – Dale Schuurmans, Finnegan Southey - 2000
3 Estimating the Expected Error of Empirical Minimizers for Model Selection – Tobias Scheffer, Thorsten Joachims - 1998
5 Expected Error Analysis for Model Selection – Tobias Scheffer, Thorsten Joachims - 1999
CROSS-VALIDATION FOR SUPERVISED LEARNING – Olcay Taner Yıldız, Prof Ethem Alpaydın, Prof H. Levent Akın, Assoc Prof, Taner Bilgiç, Prof Filiz Güne¸s, Prof Fikret Gürgen - 2005
13 The Informational Complexity of Learning from Examples – Partha Niyogi - 1996
309 Regularization Theory and Neural Networks Architectures – Federico Girosi, Michael Jones, Tomaso Poggio - 1995
47 On the Relationship Between Generalization Error, Hypothesis Complexity, and Sample Complexity for Radial Basis Functions – Partha Niyogi, Federico Girosi - 1996
1 Proper Model Selection with Significance Test – Jin Huang, Charles X. Ling, Harry Zhang, Stan Matwin
1 Learning with Kernel Machine Architectures – Theodoros Evgeniou, Tomaso Poggio, Helen Whitaker, Professor Brain, Cognitive Sciences, Arthur C. Smith - 2000
17 Pattern classification and learning theory – Gabor Lugosi
39 Combining Discriminant Models with new Multi-Class SVMs – Yann Guermeur - 2000
5 Margin Error and Generalization Capabilities of Multi-Class Discriminant Systems – André Elisseeff, Yann Guermeur , Hélène Paugam-Moisy - 2001
3 Knowledge acquisition in statistical learning theory – Shai Fine - 1999
7 Cross Validation and MLP Architecture Selection – Tim Andersen, Tony Martinez - 1999
15 Model Selection for Small Sample Regression – Olivier Chapelle, Vladimir Vapnik, Yoshua Bengio - 2002
78 The role of Occam’s Razor in knowledge discovery – Pedro Domingos - 1999