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Gaussian Processes for Active Data Selection, Faults, Changepoints and Sensor Selection

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This talk highlights the role of Gaussian Process models in sequential data analysis. Issues of active data selection, sensor selection and prediction in the presence of changepoints and sensor faults are also discussed.

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

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