Bayesian Gaussian processes for sequential prediction, optimisation and quadrature
<p>We develop a family of Bayesian algorithms built around Gaussian processes for various problems posed by sensor networks. We firstly introduce an iterative Gaussian process for multi-sensor inference problems, and show how our algorithm is able to cope with data that may be noisy, missing,...
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| Format: | Thesis |
| Language: | English |
| Published: |
2010
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| Subjects: |