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Machine Learning for Spatial Environmental Data: Theory, Applications, and Software (Environmental Sciences: Environmental Engineering) - Hardcover
Inhaltsangabe
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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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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- VerlagEPFL Press
- Erscheinungsdatum2009
- ISBN 10 0849382378
- ISBN 13 9780849382376
- EinbandTapa dura
- SpracheEnglisch
- Auflage1
- Anzahl der Seiten400
- Kontakt zum HerstellerNicht verfügbar
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Machine Learning for Spatial Environmental Data: Theory, Applications, and Software (Environmental Sciences)
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