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Machine Learning in a Changing World

Citation

Scanlan, JD and Hartnett, JS and Williams, RN, Machine Learning in a Changing World, AISAT 2009 The 3rd International Workshop on Artificial Intelligence in Science and Technology, 23-24 November 2009, Hobart, Australia EJ ISBN 978-1-86295-550-9 (2009) [Refereed Conference Paper]


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Abstract

For many different fields of research the target of the research evolves over time. In this paper a machine learning approach called DynamicWEB is presented. This allows a knowledge hierarchy to evolve as the result of changes in multiple observations of the same entities. By adapting the hierarchy to these changes, the learning technique is able to preserve and improve itself instead of being affected negatively by it. Several machine learning datasets are examined that demonstrate the value of this technique.

Item Details

Item Type:Refereed Conference Paper
Research Division:Information and Computing Sciences
Research Group:Computer Software
Research Field:Computer System Security
Objective Division:Information and Communication Services
Objective Group:Communication Networks and Services
Objective Field:Communication Networks and Services not elsewhere classified
Author:Scanlan, JD (Dr Joel Scanlan)
Author:Hartnett, JS (Mrs Jacky Hartnett)
Author:Williams, RN (Dr Ray Williams)
ID Code:61559
Year Published:2009
Deposited By:Computing and Information Systems
Deposited On:2010-03-04
Last Modified:2014-12-07
Downloads:421 View Download Statistics

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