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Abstract: This paper contains details and gives some minor extensions of Thomas Minka's expectation propagation algorithm, as applied to sparse Gaussian process classification. (Update)
Cited by: More
Gaussian Processes for Ordinal Regression - Chu, Ghahramani (2005) (Correct)
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0.8: PAC-Bayesian Theorems for Gaussian Process Classification - Seeger (2002) (Correct)
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BibTeX entry: (Update)
Seeger, M.: Notes on minka's expectation propagation for Gaussian process classification. Technical Report (2002) http://citeseer.ist.psu.edu/seeger02notes.html More
@misc{ seeger02notes,
author = "M. Seeger",
title = "Notes on minka's expectation propagation for Gaussian process classification",
text = "Seeger, M.: Notes on minka's expectation propagation for Gaussian process
classification. Technical Report (2002)",
year = "2002",
url = "citeseer.ist.psu.edu/seeger02notes.html" }
Citations (may not include all citations):1535 Cambridge University Press (context) - Flannery, Press et al. - 1992
41 A family of algorithms for approximate Bayesian inference - Minka - 2001 ACM
10 Sparse online Gaussian processes (context) - Csat, Manfred - 2001
5 A sparse Bayesian compression scheme - the Informative Vecto.. - Lawrence, Herbrich - 2001
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Annealed Expectation-Maximization by Entropy Projection - Seeger (2000) (Correct)
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