Discovery Projects - Grant ID: DP130104385

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DP130104385

Funding Status
Closed

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Funded Activity Summary

Probabilistic graphical models for detecting outbreaks. This project will create a novel class of probabilistic graphical model algorithms for learning and inference in problems involving unfrequent events such as anomaly detection. The outcome will be a methodology for seamlessly integrating space-time correlated data that will enable the early prediction of outbreaks in a principled statistical manner.

Funded Activity Details

Start Date: 17-06-2013

End Date: 16-12-2016

Funding Scheme: Discovery Projects

Funding Amount: $345,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Pattern Recognition and Data Mining | Artificial Intelligence and Image Processing

ANZSRC Socio-Economic Objective (SEO)

Natural Hazards in Fresh, Ground and Surface Water Environments | Disease Distribution and Transmission (incl. Surveillance and Response) |

Other Keywords

Artificial Intelligence and Image Processing | Disease Distribution and Transmission (incl. Surveillance and Response) | Natural Hazards in Fresh, Ground and Surface Water Environments | Pattern Recognition and Data Mining

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