Gaussian processes for machine learning / / Carl Edward Rasmussen, Christopher K.I. Williams.
A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines.
Saved in:
| Superior document: | Adaptive computation and machine learning |
|---|---|
| : | |
| TeilnehmendeR: | |
| Year of Publication: | 2006 |
| Edition: | 1st ed. |
| Language: | English |
| Series: | Adaptive computation and machine learning.
|
| Physical Description: | xviii, 248 p. :; ill. |
| Notes: | Title from title screen. |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|