Machine Learning for Spatial Environmental Data: Theory, Applications, and Software (Environmental Sciences)

Mikhail Kanevski and Vadim Timonin

Published by EPFL Press, 2009
ISBN 10: 0849382378 / ISBN 13: 9780849382376
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Synopsis: This book discusses machine learning algorithms, such as artificial neural networks of different architectures, statistical learning theory, and Support Vector Machines used for the classification and mapping of spatially distributed data.  It presents basic geostatistical algorithms as well. The authors describe new trends in machine learning and their application to spatial data. The text also includes real case studies based on environmental and pollution data. It includes a CD-ROM with software that will allow both students and researchers to put the concepts to practice.  

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Title: Machine Learning for Spatial Environmental ...
Publisher: EPFL Press
Publication Date: 2009
Binding: Hardcover
Book Condition: Used: Good

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Book Description Taylor Francis Inc, United States, 2009. Hardback. Book Condition: New. New.. Language: English . Brand New Book. This book discusses machine learning algorithms, such as artificial neural networks of different architectures, statistical learning theory, and Support Vector Machines used for the classification and mapping of spatially distributed data. It presents basic geostatistical algorithms as well. The authors describe new trends in machine learning and their application to spatial data. The text also includes real case studies based on environmental and pollution data. It includes a CD-ROM with software that will allow both students and researchers to put the concepts to practice. Bookseller Inventory # AA69780849382376

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Mikhail Kanevski, Vadim Timonin, Pozdnukhov Alexi
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Book Description Taylor Francis Inc, United States, 2009. Hardback. Book Condition: New. New.. Language: English . Brand New Book. This book discusses machine learning algorithms, such as artificial neural networks of different architectures, statistical learning theory, and Support Vector Machines used for the classification and mapping of spatially distributed data. It presents basic geostatistical algorithms as well. The authors describe new trends in machine learning and their application to spatial data. The text also includes real case studies based on environmental and pollution data. It includes a CD-ROM with software that will allow both students and researchers to put the concepts to practice. Bookseller Inventory # AA69780849382376

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KANEVSKI, MIKHAIL; TIMONIN, VADIM; POZDNUKHOV, ALEXI.
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Mikhail Kanevski, Vadim Timonin, Pozdnukhov Alexi
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Book Description Taylor Francis Inc, United States, 2009. Hardback. Book Condition: New. New.. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. This book discusses machine learning algorithms, such as artificial neural networks of different architectures, statistical learning theory, and Support Vector Machines used for the classification and mapping of spatially distributed data. It presents basic geostatistical algorithms as well. The authors describe new trends in machine learning and their application to spatial data. The text also includes real case studies based on environmental and pollution data. It includes a CD-ROM with software that will allow both students and researchers to put the concepts to practice. Bookseller Inventory # BTE9780849382376

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