Rasmussen, CE and Nickisch, H Gaussian Processes for Machine Learning. (Unpublished)Full text not available from this repository.
The code provided here originally demonstrated the main algorithms from Rasmussen and Williams: Gaussian Processes for Machine Learning. It has since grown to allow more likelihood functions, further inference methods and a flexible framework for specifying GPs.
|Divisions:||Div F > Computational and Biological Learning|
|Depositing User:||Unnamed user with email email@example.com|
|Date Deposited:||18 May 2016 17:47|
|Last Modified:||27 Jul 2016 00:42|