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Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels

ISBN: 9780521791922 | 0521791928
Edition: 1st
Format: Hardcover
Publisher: Cambridge University Press
Pub. Date: 8/31/2009

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SummaryTable of Contents
Machine learning methods are used in various fields in environmental sciences today. This is the first single-authored textbook providing a unified treatment of these methods and their applications, and is a valuable resource for advanced undergraduates, graduates, and researchers and practitioners interested in applying such methods to their own work.
A graduate textbook that provides a unified treatment of machine learning methods and their applications in the environmental sciences.
Preface
Basic notions in classical data analysis
Linear multivariate statistical analysis
Basic time series analysis
Feed-forward neural network models
Nonlinear optimization
Learning and generalization
Kernel methods
Nonlinear classification
Nonlinear regression
Nonlinear p... MORE
Nonlinear canonical correlation analysis
Applications in environmental sciences
Sources for data and codes
Lagrange multipliers
Bibliography
Index
Table of Contents provided by Publisher. All Rights Reserved.


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