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
c ○ 2002 Kluwer Academic Publishers. Manufactured in The Netherlands. Metric-Based Methods for Adaptive Model Selection – Regularization, Dale Schuurmans, Finnegan Southey
Characterizing the Generalization Performance of Model Selection Strategies – Dale E. Schuurmans , Lyle H. Ungar, Dean P. Foster - 1997
523 An Efficient Boosting Algorithm for Combining Preferences – Raj Dharmarajan Iyer , Jr. - 1999
540 An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants – Eric Bauer, Ron Kohavi - 1999
2322 A Decision-Theoretic Generalization of on-Line Learning and an Application to Boosting – Yoav Freund, Robert E. Schapire - 1996
684 Gene selection for cancer classification using support vector machines – Isabelle Guyon, Jason Weston, Stephen Barnhill, Vladimir Vapnik, Nello Cristianini
1036 Wrappers for feature subset selection – Ron Kohavi , George H. John - 1997