Discovery Projects - Grant ID: DP150104595

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DP150104595

Funding Status
Active

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Funded Activity Summary

Uncertainty, Risk and Related Concepts in Machine Learning. Machine learning is the science of making sense of data. It does not and cannot remove all risk and uncertainty. This project proposes to study the foundations of how machine learning uses, represents and communicates risk and uncertainty. It aims to do so by finding new theoretical connections between diverse notions that have arisen in allied disciplines. These include risk, uncertainty, scoring rules and loss functions, divergences, statistics and different ways of aggregating information. By building a more complete theoretical map it is expected that new machine learning methods will be developed, but more importantly that machine learning will be able to be better integrated into larger socio-technical systems.

Funded Activity Details

Start Date: 30-06-2015

End Date: 29-06-2020

Funding Scheme: Discovery Projects

Funding Amount: $426,700.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Econometric and Statistical Methods | Statistical Theory | Pattern Recognition and Data Mining | Artificial Intelligence and Image Processing

ANZSRC Socio-Economic Objective (SEO)

Expanding Knowledge in the Information and Computing Sciences | Expanding Knowledge in the Mathematical Sciences | Information Processing Services (incl. Data Entry and Capture) |

Other Keywords

Artificial Intelligence and Image Processing | Econometric and Statistical Methods | Expanding Knowledge in the Information and Computing Sciences | Expanding Knowledge in the Mathematical Sciences | Information Processing Services (incl. Data Entry and Capture) | Pattern Recognition and Data Mining | Statistical Theory

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