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1. Introduction

2. Introduction

4. Generalization Error Bounds for Aggregate Classifiers

6. ANOVA DDP Models: A Review

7. Unsupervised Learning of Curved Manifolds

9. Targeted Clustering of Nonlinearly Transformed Gaussians

11. Model Complexity and Model Priors

12. Risk Bounds for CART Regression Trees

13. On Adaptive Estimation by Neural Net Type Estimators

14. Logic Regression — Methods and Software

15. Statistical Inference for Clustering Microarrays

16. Adaptive Kernels for Support Vector Classification

17. Mixed-Effects Multivariate Adaptive Splines Models

18. Confidence Intervals for Logspline Density Estimation

19. Multi-Resolution Properties of Semi-Parametric Volatility Models

20. Wavelet Thresholding on Non-Equispaced Data

21. Multiscale Statistical Models

22. Regression and Classification with Regularization

23. The Boosting Approach to Machine Learning: An Overview

24. Adaptive Sparse Regression

25. Wavelet Statistical Models and Besov Spaces

26. Internet Traffic Tends Toward Poisson and Independent as the Load Increases

28. Traffic Flow on a Freeway Network

29. Coarse-to-Fine Classification and Scene Labeling

30. Environmental Monitoring Using a Time Series of Satellite Images and Other Spatial Data Sets

31. Gauss Mixture Quantization: Clustering Gauss Mixtures

32. Extended Linear Modeling with Splines

33. Improved Class Probability Estimates from Decision Tree Models

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