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 (Unpublished)Full text not available from this repository.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:||09 Dec 2016 17:25|
|Last Modified:||19 Jan 2017 02:15|