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Principles of Nonparametric Learning - CISM International Centre for Mechanical Sciences Laszlo Gyorfi Softcover reprint of the original 1st ed. 2002 edition
Principles of Nonparametric Learning - CISM International Centre for Mechanical Sciences
Laszlo Gyorfi
This volume provides a systematic in-depth analysis of nonparametric learning. It covers the theoretical limits and the asymptotical optimal algorithms and estimates, such as pattern recognition, nonparametric regression estimation, universal prediction, vector quantization, distribution and density estimation, and genetic programming.
340 pages, biography
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 30 de julio de 2002 |
| ISBN13 | 9783211836880 |
| Editores | Springer Verlag GmbH |
| Páginas | 335 |
| Dimensiones | 170 × 244 × 19 mm · 557 g |
| Lengua | Alemán |
| Editor | Gyoerfi, Laszlo |