Discovery Projects - Grant ID: DP160102639

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP160102639

Funding Status
Closed

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Funded Activity Summary

A Novel Framework for Optimised Ensemble Classifier. The project aims to develop a novel framework for creating an optimised ensemble classifier that will improve data analysis and the accuracy of many real-world applications such as document analysis, robotics and medical diagnosis. The project plans to develop and investigate novel methods for generating diverse training environment layers, base classifiers and fusion of classifiers. It also plans to design a multi-objective evolutionary algorithm-based search obtain the optimal number of layers, clusters and base classifiers. The expected outcomes of the proposed framework are advances in classifier learning. The final outcome may be novel methods which will bring in diversity during the learning of the base classifiers and provide an optimal ensemble classifier for real-world applications.

Funded Activity Details

Start Date: 2016

End Date: 04-2020

Funding Scheme: Discovery Projects

Funding Amount: $270,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Neural, Evolutionary and Fuzzy Computation | Artificial Intelligence and Image Processing

ANZSRC Socio-Economic Objective (SEO)

Application Tools and System Utilities |

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