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GP-LVMs

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If you have a question about this talk, please contact Frederik Eaton .

This week, Joaquin will talk about Gaussian Process Latent Variable Models. The reading is:

N. D. Lawrence (2005) Probabilistic non-linear principal component analysis with Gaussian process latent variable models in Journal of Machine Learning Research 6, pp 1783—1816

and

Neil D. Lawrence and Joaquin Quiñonero-Candela. Local distance preservation in the gp-lvm through back constraints. In W. Cohen and A. Moore, editors, Proceedings of the International Conference in Machine Learning, pages 513-520, San Francisco, CA, 2006. Morgan Kauffman

This talk is part of the Machine Learning Reading Group @ CUED series.

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