Evaluation of Massively Scalable Gaussian Processes
Gaussian process methods are flexible non-parametric Bayesian methods used for regression and classification. They allow for explicit handling of uncertainty and are able to learn complex structures in the data. Their main limitation is their scaling characteristics: for n training points the comple...
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| Format: | Others |
| Language: | English |
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KTH, Matematisk statistik
2017
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-209244 |