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Gaussian Processes for Machine Learning

Rasmussen, CE and Nickisch, H Gaussian Processes for Machine Learning. (Unpublished)

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Abstract

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.

Item Type: Article
Subjects: UNSPECIFIED
Divisions: Div F > Computational and Biological Learning
Depositing User: Unnamed user with email sms67@cam.ac.uk
Date Deposited: 15 Dec 2015 12:56
Last Modified: 05 May 2016 06:19
DOI: