MIKHAIL KANEVSKI / VADIM TIMONIN / ALEXI POZDNUKHOV
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
