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OverviewThis 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. Full Product DetailsAuthor: Mikhail Kanevski (University of Lausanne, Switzerland) , Vadim Timonin (University of Lausanne, Switzerland) , Alexi Pozdnukhov (University of Lausanne, Switzerland) , Alexi PozdnukhovPublisher: Taylor & Francis Inc Imprint: Routledge Dimensions: Width: 17.00cm , Height: 2.80cm , Length: 24.50cm Weight: 0.846kg ISBN: 9780849382376ISBN 10: 0849382378 Pages: 400 Publication Date: 01 April 2009 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Awaiting stock  The supplier is currently out of stock of this item. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out for you. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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