Guest Introduction: Special Issue on New Methods for Model Selection and Model Combination
Model Selection for Small Sample Regression
Theoretical and Experimental Evaluation of the Subspace Information Criterion
Metric-Based Methods for Adaptive Model Selection and Regularization
Model Selection and Error Estimation
Statistical Properties and Adaptive Tuning of Support Vector Machines
Structural Modelling with Sparse Kernels
Kernel Matching Pursuit
Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces
On the Existence of Linear Weak Learners and Applications to Boosting
Logistic Regression, AdaBoost and Bregman Distances
Estimating Generalization Error on Two-Class Datasets Using Out-of-Bag Estimates
Bayesian Treed Models
Decision Region Connectivity Analysis: A Method for Analyzing High-Dimensional Classifiers