Discovery Projects - Grant ID: DP160100703

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP160100703

Funding Status
Closed

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Funded Activity Summary

Probabilistic Graphical Models For Interventional Queries. The project intends to develop methods to suggest how to optimally intervene so that the future state of the system will best suit our interests. The power of probabilistic graphical models to model complex relationships and interactions among a large number of variables facilitates many applications. However, such models only aim to understand the underlying environment. What is ultimately needed in many real-world applications is to suggest how we ought to intervene or act, so as to alter the environment to best suit our interests. The proposed project aims to achieve this using probabilistic graphical models on massive real-world data sets, thus facilitating a variety of applications from health care to commerce and the environment.

Funded Activity Details

Start Date: 2016

End Date: 12-2019

Funding Scheme: Discovery Projects

Funding Amount: $318,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Pattern Recognition and Data Mining | Computer Vision | Artificial Intelligence and Image Processing

ANZSRC Socio-Economic Objective (SEO)

Application Tools and System Utilities |

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