Search Results for author: Ewan Cameron

Found 2 papers, 1 papers with code

Variational Learning on Aggregate Outputs with Gaussian Processes

1 code implementation NeurIPS 2018 Ho Chung Leon Law, Dino Sejdinovic, Ewan Cameron, Tim CD Lucas, Seth Flaxman, Katherine Battle, Kenji Fukumizu

While a typical supervised learning framework assumes that the inputs and the outputs are measured at the same levels of granularity, many applications, including global mapping of disease, only have access to outputs at a much coarser level than that of the inputs.

Gaussian Processes

Improved prediction accuracy for disease risk mapping using Gaussian Process stacked generalisation

no code implementations10 Dec 2016 Samir Bhatt, Ewan Cameron, Seth R. Flaxman, Daniel J Weiss, David L Smith, Peter W Gething

Maps of infectious disease---charting spatial variations in the force of infection, degree of endemicity, and the burden on human health---provide an essential evidence base to support planning towards global health targets.

Spatial Interpolation

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