Machine Learning for Spatial Environmental Data : Theory, Applications, and Software PDF
by Mikhail Kanevski, Vadim Timonin, Alexi Pozdnukhov
Description
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 lea
Information
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Download - Immediately Available
- Format:PDF
- Pages:400 pages
- Publisher:EPFL Press
- Publication Date:09/06/2009
- Category:
- ISBN:9781439808085
Information
-
Download - Immediately Available
- Format:PDF
- Pages:400 pages
- Publisher:EPFL Press
- Publication Date:09/06/2009
- Category:
- ISBN:9781439808085