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Sparse Gaussian Processes
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A. Melkumyan, F. Ramos. A Sparse Covariance Function for Exact Gaussian Process Inference in Large Datasets. International Joint Conferences on Artificial Intelligence, 2009.
N. Lawrence, M. Seeger, R. Herbrich. Fast Sparse Gaussian Process Methods: The Informative Vector Machine. In S. Becker, S. Thrun, and K. Obermayer, editors, Advances in Neural Information Processing Systems 15, pages 625-632. MIT Press, 2003.
J. Quinonero Candela, CE Rasmussen. A Unifying View of Sparse Approximate Gaussian Process Regression. Journal of Machine Learning Research, (6):1939-1959, 2005.
M. Seeger, C. K. I. Williams, N. Lawrence. Fast forward selection to speed up sparse gaussian process regression. In AISTATS, 2003.
A. Smola, P. Bartlett. Sparse greedy gaussian process regression. In Advances in Neural Information Processing Systems 13, pages 619-625. MIT Press, 2001.
E. Snelson, Z. Ghahramani. Sparse gaussian processes using pseudo-inputs. In Advances in Neural Information Processing Systems 18, pages 1257-1264. MIT press, 2006.
M Alvarez, N Lawrence. Sparse Convolved Gaussian Processes for Multi-output Regression. Advances in Neural Information Processing Systems, 2008.
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Dr Arman Melkumyan
Rio Tinto Centre for Mine Automation
Australian Centre for Field Robotics
Link Building J13, Room 317
University of Sydney
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