Nonlinear Estimation and Classification

I Longer Papers.- 1 Wavelet Statistical Models and Besov Spaces.- 2 Coarse-to-Fine Classification and Scene Labeling.- 3 Environmental Monitoring Using a Time Series of Satellite Images and Other Spatial Data Sets.- 4 Traffic Flow on a Freeway Network.- 5 Internet Traffic Tends Toward Poisson and Independent as the Load Increases.- 6 Regression and Classification with Regularization.- 7 Optimal Properties and Adaptive Tuning of Standard and Nonstandard Support Vector Machines.- 8 The Boosting Approach to Machine Learning: An Overview.- 9 Improved Class Probability Estimates from Decision Tree Models.- 10 Gauss Mixture Quantization: Clustering Gauss Mixtures.- 11 Extended Linear Modeling with Splines.- II Shorter Papers.- 12 Adaptive Sparse Regression.- 13 Multiscale Statistical Models.- 14 Wavelet Thresholding on Non-Equispaced Data.- 15 Multi-Resolution Properties of Semi-Parametric Volatility Models.- 16 Confidence Intervals for Logspline Density Estimation.- 17 Mixed-Effects Multivariate Adaptive Splines Models.- 18 Statistical Inference for Simultaneous Clustering of Gene Expression Data.- 19 Statistical Inference for Clustering Microarrays.- 20 Logic Regression — Methods and Software.- 21 Adaptive Kernels for Support Vector Classification.- 22 Generalization Error Bounds for Aggregate Classifiers.- 23 Risk Bounds for CART Regression Trees.- 24 On Adaptive Estimation by Neural Net Type Estimators.- 25 Nonlinear Function Learning and Classification Using RBF Networks with Optimal Kernels.- 26 Instability in Nonlinear Estimation and Classification: Examples of a General Pattern.- 27 Model Complexity and Model Priors.- 28 A Strategy for Compression and Analysis of Very Large Remote Sensing Data Sets.- 29 Targeted Clustering of Nonlinearly Transformed Gaussians.- 30Unsupervised Learning of Curved Manifolds.- 31 ANOVA DDP Models: A Review.