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Machine Learning in a Changing World


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]



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:Cybersecurity and privacy
Research Field:Cybersecurity and privacy not elsewhere classified
Objective Division:Information and Communication Services
Objective Group:Communication technologies, systems and services
Objective Field:Communication technologies, systems and services not elsewhere classified
UTAS Author:Scanlan, JD (Dr Joel Scanlan)
UTAS Author:Hartnett, JS (Mrs Jacky Hartnett)
UTAS Author:Williams, RN (Dr Ray Williams)
ID Code:61559
Year Published:2009
Deposited By:Information and Communication Technology
Deposited On:2010-03-04
Last Modified:2014-12-07
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