Discovery - University of Dundee - Online Publications

Library & Learning Centre

Gaussian process learning from order relationships using expectation propagation

Gaussian process learning from order relationships using expectation propagation

Research output: Chapter in Book/Report/Conference proceedingOther chapter contribution

View graph of relations

Authors

Research units

Info

Original languageEnglish
Title of host publicationProceedings - International Conference on Pattern Recognition
Pages605-608
Number of pages4
DOIs
StatePublished - 2010
Event20th International Conference on Pattern Recognition - Istanbul, Turkey

Conference

Conference20th International Conference on Pattern Recognition
Abbreviated titleICPR 2010
CountryTurkey
CityIstanbul
Period23/08/1026/08/10

Abstract

A method for Gaussian process learning of a scalar function from a set of pair-wise order relationships is presented. Expectation propagation is used to obtain an approximation to the log marginal likelihood which is optimised using an analytical expression for its gradient. Experimental results show that the proposed method performs well compared with a previous method for Gaussian process preference learning. © 2010 IEEE.

Documents

DOI

Library & Learning Centre

Contact | Accessibility | Policy