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Nonlinear Estimation And Classification by David D. Denison Paperback | Indigo Chapters
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Nonlinear Estimation And Classification by David D. Denison Paperback | Indigo Chapters - new book

2001, ISBN: 9780387954714

Researchers in many disciplines now face the formidable task of processing massive amounts of high-dimensional and highly structured data. Advances in data collection and information tech… More...

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Nonlinear Estimation and Classification David D. Denison Editor
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ISBN: 9780387954714

Researchers in many disciplines face the formidable task of analyzing massive amounts of high-dimensional and highly-structured data. This is due in part to recent advances in data collec… More...

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Nonlinear Estimation and Classification - Denison, David D. (Herausgeber); Hansen, Mark H. (Herausgeber); Yu, Bin (Herausgeber); Mallick, Bani (Herausgeber); Holmes, Christopher C. (Herausgeber)
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Denison, David D. (Herausgeber); Hansen, Mark H. (Herausgeber); Yu, Bin (Herausgeber); Mallick, Bani (Herausgeber); Holmes, Christopher C. (Herausgeber):
Nonlinear Estimation and Classification - new book

2003

ISBN: 0387954716

2003 Kartoniert / Broschiert Nichtlinear, Statistik, ANOVA; Estimator; dataanalysis; Probability; statisticalinference; Statistics; timeseries, Protège-cahier 11, [PU:Springer New York;… More...

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Nonlinear Estimation and Classification - Denison, David D. (Herausgeber); Hansen, Mark H. (Herausgeber); Yu, Bin (Herausgeber); Mallick, Bani (Herausgeber); Holmes, Christopher C. (Herausgeber)
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Denison, David D. (Herausgeber); Hansen, Mark H. (Herausgeber); Yu, Bin (Herausgeber); Mallick, Bani (Herausgeber); Holmes, Christopher C. (Herausgeber):
Nonlinear Estimation and Classification - new book

2003, ISBN: 0387954716

2003 Kartoniert / Broschiert Nichtlinear, Statistik, ANOVA; Estimator; dataanalysis; Probability; statisticalinference; Statistics; timeseries, mit Schutzumschlag 11, [PU:Springer New Y… More...

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Nonlinear Estimation and Classification - David D. Denison; Mark H. Hansen; Christopher C. Holmes; Bani Mallick; Bin Yu
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David D. Denison; Mark H. Hansen; Christopher C. Holmes; Bani Mallick; Bin Yu:
Nonlinear Estimation and Classification - Paperback

2003, ISBN: 9780387954714

Buch, Softcover, 2003 ed. [PU: Springer-Verlag New York Inc.], Springer-Verlag New York Inc., 2003

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Nonlinear Estimation and Classification David D. Denison Editor
Author:
Title:
ISBN:

0387954716


Researchers in many disciplines face the formidable task of analyzing massive amounts of high-dimensional and highly-structured data. This is due in part to recent advances in data collection and computing technologies. As a result, fundamental statistical research is being undertaken in a variety of different fields. Driven by the complexity of these new problems, and fueled by the explosion of available computer power, highly adaptive, non-linear procedures are now essential components of modern "data analysis," a term that we liberally interpret to include speech and pattern recognition, classification, data compression and signal processing. The development of new, flexible methods combines advances from many sources, including approximation theory, numerical analysis, machine learning, signal processing and statistics. The proposed workshop intends to bring together eminent experts from these fields in order to exchange ideas and forge directions for the future. TOC:Nonlinear Classification.- Approximation Theory and Signal Processing.- Modeling of Complex Objects.- Splines Gaussian Processes and Support Vector Machines.- Case Studies.- Theory.- Machine Learning and Optimization.- Future Directions.

Details of the book - Nonlinear Estimation and Classification David D. Denison Editor


EAN (ISBN-13): 9780387954714
ISBN (ISBN-10): 0387954716
Paperback
Publishing year: 2003
Publisher: Springer New York Core >1 >T

Book in our database since 2007-06-21T08:41:56-04:00 (New York)
Detail page last modified on 2023-11-16T15:08:30-05:00 (New York)
ISBN/EAN: 0387954716

ISBN - alternate spelling:
0-387-95471-6, 978-0-387-95471-4
Alternate spelling and related search-keywords:
Book author: goos, holmes christopher, denison, hansen mark, bani, david christopher, hansen peter, bin, hans holm
Book title: lecture notes, classification

Information from Publisher

Author: David D. Denison; Mark H. Hansen; Christopher C. Holmes; Bani Mallick; Bin Yu
Title: Lecture Notes in Statistics; Nonlinear Estimation and Classification
Publisher: Springer; Springer US
477 Pages
Publishing year: 2003-01-22
New York; NY; US
Language: English
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
Available
VII, 477 p.

BC; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; ANOVA; Estimator; data analysis; probability; statistical inference; statistics; time series; Statistical Theory and Methods; EA

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.
Includes supplementary material: sn.pub/extras

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