Principles of Nonparametric Learning
| Author | : László Györfi |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 350 |
| Release | : 2002-07-30 |
| ISBN-13 | : 3211836888 |
| ISBN-10 | : 9783211836880 |
| Rating | : 4/5 (80 Downloads) |
Book Synopsis Principles of Nonparametric Learning by : László Györfi
Download or read book Principles of Nonparametric Learning written by László Györfi and published by Springer Science & Business Media. This book was released on 2002-07-30 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
