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Machine Learning (ML) - July 2002, issue 1-3 论文列表

本期论文列表
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