PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Approximate Methods for GP Regression: A Survey and an Empirical Comparison
Christopher Williams
In: Gaussian Process Roundtable, 9-10 June 2005, Sheffield, UK.

Abstract

I will outline a number of approximate methods for Gaussian process regression and present results giving a comparison of these methods on an inverse dynamics problem.

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EPrint Type:Conference or Workshop Item (Invited Talk)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
ID Code:1108
Deposited By:Christopher Williams
Deposited On:29 September 2005