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Filippone et al., 2013 - Google Patents

A comparative evaluation of stochastic-based inference methods for Gaussian process models

Filippone et al., 2013

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Document ID
3685364879238731106
Author
Filippone M
Zhong M
Girolami M
Publication year
Publication venue
Machine Learning

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Snippet

Gaussian Process (GP) models are extensively used in data analysis given their flexible modeling capabilities and interpretability. The fully Bayesian treatment of GP models is analytically intractable, and therefore it is necessary to resort to either deterministic or …
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