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Principles of Nonparametric Learning - CISM International Centre for Mechanical Sciences Softcover reprint of the original 1st ed. 2002 edition
Laszlo Gyorfi
Principles of Nonparametric Learning - CISM International Centre for Mechanical Sciences Softcover reprint of the original 1st ed. 2002 edition
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
Media | Books Paperback Book (Book with soft cover and glued back) |
Released | July 30, 2002 |
ISBN13 | 9783211836880 |
Publishers | Springer Verlag GmbH |
Pages | 335 |
Dimensions | 170 × 244 × 19 mm · 557 g |
Language | German |
Editor | Gyoerfi, Laszlo |