Principles of Nonparametric Learning
| Author | : Laszlo Györfi |
| Publisher | : Springer |
| Total Pages | : 344 |
| Release | : 2014-05-04 |
| ISBN-10 | : 9783709125687 |
| ISBN-13 | : 3709125685 |
| Rating | : 4/5 (685 Downloads) |
Book Synopsis Principles of Nonparametric Learning by : Laszlo Györfi
Download or read book Principles of Nonparametric Learning written by Laszlo Györfi and published by Springer. This book was released on 2014-05-04 with total page 344 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.
