Volume 48,
Number 1-3,
July-August-September 2002
New Methods for Model Selection and Model Combination
- Yoshua Bengio, Dale Schuurmans:
Guest Introduction: Special Issue on New Methods for Model Selection and Model Combination.
5-7
- Olivier Chapelle, Vladimir Vapnik, Yoshua Bengio:
Model Selection for Small Sample Regression.
9-23
- Masashi Sugiyama, Hidemitsu Ogawa:
Theoretical and Experimental Evaluation of the Subspace Information Criterion.
25-50
- Dale Schuurmans, Finnegan Southey:
Metric-Based Methods for Adaptive Model Selection and Regularization.
51-84
- Peter L. Bartlett, Stéphane Boucheron, Gábor Lugosi:
Model Selection and Error Estimation.
85-113
- Yi Lin, Grace Wahba, Hao Zhang, Yoonkyung Lee:
Statistical Properties and Adaptive Tuning of Support Vector Machines.
115-136
- Steve R. Gunn, Jaz S. Kandola:
Structural Modelling with Sparse Kernels.
137-163
- Pascal Vincent, Yoshua Bengio:
Kernel Matching Pursuit.
165-187
- Gunnar Rätsch, Ayhan Demiriz, Kristin P. Bennett:
Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces.
189-218
- Shie Mannor, Ron Meir:
On the Existence of Linear Weak Learners and Applications to Boosting.
219-251
- Michael Collins, Robert E. Schapire, Yoram Singer:
Logistic Regression, AdaBoost and Bregman Distances.
253-285
- Tom Bylander:
Estimating Generalization Error on Two-Class Datasets Using Out-of-Bag Estimates.
287-297
- Hugh A. Chipman, Edward I. George, Robert E. McCulloch:
Bayesian Treed Models.
299-320
- Ofer Melnik:
Decision Region Connectivity Analysis: A Method for Analyzing High-Dimensional Classifiers.
321-351
Copyright © Mon Nov 2 21:48:06 2009
by Michael Ley (ley@uni-trier.de)
