Gaussian Processes for Machine Learning
Edición de la obra Gaussian processes for machine learning
| Autor | Carl Edward Rasmussen, Christopher K. I. Williams, Francis Bach |
|---|---|
| Editorial | MIT Press |
| Fecha de publicación | 2005 |
| Idioma | inglés |
| Páginas | 272 |
| ISBN-13 | 9780262253321 |
| Número de Cutter | R225g |
Gaussian processes (GPs) provide an approach to kernel-machine learning. This book provides a treatment of theoretical and practical aspects of GPs in machine learning. The treatment is comprehensive and self-contained, targeted at researchers and students in machine learning and applied statistics. (From the book's web site, http://www.gaussianprocess.org/gpml/ )