Guest Introduction: Special Issue on New Methods for Model Selection and Model Combination Yoshua BengioDale Schuurmans Introduction Pages: 5 - 7
Model Selection for Small Sample Regression Olivier ChapelleVladimir VapnikYoshua Bengio OriginalPaper Pages: 9 - 23
Theoretical and Experimental Evaluation of the Subspace Information Criterion Masashi SugiyamaHidemitsu Ogawa OriginalPaper Pages: 25 - 50
Metric-Based Methods for Adaptive Model Selection and Regularization Dale SchuurmansFinnegan Southey OriginalPaper Pages: 51 - 84
Model Selection and Error Estimation Peter L. BartlettStéphane BoucheronGábor Lugosi OriginalPaper Pages: 85 - 113
Statistical Properties and Adaptive Tuning of Support Vector Machines Yi LinGrace WahbaYoonkyung Lee OriginalPaper Pages: 115 - 136
Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces Gunnar RätschAyhan DemirizKristin P. Bennett OriginalPaper Pages: 189 - 218
On the Existence of Linear Weak Learners and Applications to Boosting Shie MannorRon Meir OriginalPaper Pages: 219 - 251
Logistic Regression, AdaBoost and Bregman Distances Michael CollinsRobert E. SchapireYoram Singer OriginalPaper Pages: 253 - 285
Estimating Generalization Error on Two-Class Datasets Using Out-of-Bag Estimates Tom Bylander OriginalPaper Pages: 287 - 297
Bayesian Treed Models Hugh A. ChipmanEdward I. GeorgeRobert E. McCulloch OriginalPaper Pages: 299 - 320
Decision Region Connectivity Analysis: A Method for Analyzing High-Dimensional Classifiers Ofer Melnik OriginalPaper Pages: 321 - 351