2001, ISBN: 9780387215792
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 techn… More...
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2001, ISBN: 9780387215792
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 techn… More...
hive.co.uk No. 9780387215792. Shipping costs:Instock, Despatched same working day before 3pm, zzgl. Versandkosten., plus shipping costs Details... |
2001, ISBN: 9780387215792
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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2013, ISBN: 9780387215792
eBooks, eBook Download (PDF), [PU: Springer New York], Springer New York, 2013
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2013, ISBN: 9780387215792
eBook Download (PDF), eBooks, [PU: Springer]
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2001, ISBN: 9780387215792
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 techn… More...
2001, ISBN: 9780387215792
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 techn… More...
2001
ISBN: 9780387215792
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...
2013, ISBN: 9780387215792
eBooks, eBook Download (PDF), [PU: Springer New York], Springer New York, 2013
2013, ISBN: 9780387215792
eBook Download (PDF), eBooks, [PU: Springer]
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Details of the book - Nonlinear Estimation and Classification
EAN (ISBN-13): 9780387215792
Publishing year: 2001
Publisher: Springer New York
Book in our database since 2017-02-07T12:55:01-05:00 (New York)
Detail page last modified on 2024-01-15T12:25:32-05:00 (New York)
ISBN/EAN: 9780387215792
ISBN - alternate spelling:
978-0-387-21579-2
Alternate spelling and related search-keywords:
Book author: mark hansen, denison, bani
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: 2013-11-11
New York; NY; US
Language: English
53,49 € (DE)
55,00 € (AT)
59,00 CHF (CH)
Available
VII, 477 p.
EA; E107; eBook; Nonbooks, PBS / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; ANOVA; Estimator; data analysis; probability; statistical inference; statistics; time series; C; Statistical Theory and Methods; Mathematics and Statistics; BC
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; This book presents the latest research on analyzing massive amounts of high-dimensional and highly structured data.
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