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ORCIDMachine Learning, Volume 48, 2002
Volume 48, Number 1-3, July-August-September 2002
- 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
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