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,...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Thesis |
Language: | English |
Published: |
2010
|
Subjects: |