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Topic: London

Seminar
2 seminars
Podcast episode
1 podcast episode

In Neuroscience and Archeology

Seminar · Machine Learning

Multi-resolution Multi-task Gaussian Processes: London air pollution

Ollie Hamelijnck · The Alan Turing Institute, London

Thu, Jul 9, 2020 · 13:00 UTC

Poor air quality in cities is a significant threat to health and life expectancy, with over 80% of people living in urban areas exposed to air quality levels that exceed World Health Organisation limits. In this session, I present a multi-resolution multi-task framework that handles evidence integration under varying spatio-temporal sampling resolution and noise levels. We have developed both shallow Gaussian Process (GP) mixture models and deep GP constructions that naturally handle this evidence integration, as well as biases in the mean. These models underpin our work at the Alan Turing In

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