Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP160103934
Funding Status
Closed
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Funded Activity Summary
Nonparametric Machine Learning for Modern Data Analytics. This project intends to develop next-generation machine-learning methods to cope with the growing data deluge. Modern data analytics tasks need to interpret and derive values from complex, growing data. Intended outcomes of the project include new Bayesian nonparametric methods that can express arbitrary dependency amongst multiple, heterogeneous data sources with infinite model complexity, together with algorithms to perform inference and deduce knowledge from them; new Bayesian statistical inference for set-valued random variables that moves beyond vectors and matrices to enrich our analytics toolbox to deal with sets; and a new deterministic fast inference to meet with real-world demand.Funded Activity Details
Start Date: 2016
End Date: 12-2019
Funding Scheme: Discovery Projects
Funding Amount: $410,000.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Health Informatics | Cognitive Science | Pattern Recognition and Data Mining | Knowledge Representation and Machine Learning
ANZSRC Socio-Economic Objective (SEO)
Expanding Knowledge in the Information and Computing Sciences | Expanding Knowledge in the Medical and Health Sciences |
