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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: | 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 |
| Downloads: | 501 View Download Statistics |
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