Title | Nonlinear Estimation and Classification [electronic resource] / edited by David D. Denison, Mark H. Hansen, Christopher C. Holmes, Bani Mallick, Bin Yu |
---|---|
Imprint | New York, NY : Springer New York : Imprint: Springer, 2003 |
Connect to | http://dx.doi.org/10.1007/978-0-387-21579-2 |
Descript | VII, 477 p. online resource |
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 โ 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 -- 30 Unsupervised Learning of Curved Manifolds -- 31 ANOVA DDP Models: A Review