Statistical Foundations of Intelligent Technologies

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Show simple item record Aboura, Khalid en_US
dc.contributor.editor Ha, Q. P, Kwok, N. M en_US 2010-06-16T04:59:24Z 2010-06-16T04:59:24Z 2007 en_US
dc.identifier 2008007956 en_US
dc.identifier.citation Aboura Khalid 2007, 'Statistical Foundations of Intelligent Technologies', University of Technology, Sydney, Australia, pp. 1-7. en_US
dc.identifier.issn 978-1-86365-718-1 en_US
dc.identifier.other E1UNSUBMIT en_US
dc.description.abstract Intelligent Technologies problems have one common element; uncertainty. Randomness, natural or created, is an important part of the engineering problems in Intelligent Technologies. Modeling it properly and dealing with it in a coherent manner is essential to any solution. In this article, we address the issue of uncertainty in Intelligent Technologies through a classification problem. We look at the problems of pattern recognition and classification, an important area in automation, and use the example to highlight a simple but effective way to deal with uncertainty in complex environments en_US
dc.language en_US
dc.publisher University of Technology, Sydney en_US
dc.relation.isbasedon NA en_US
dc.title Statistical Foundations of Intelligent Technologies en_US
dc.parent Proceedings of The 8th International Conference on Intelligent Technologies (InTech07) : intelligent technologies in robotics and automation en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation Australia en_US
dc.identifier.startpage 1 en_US
dc.identifier.endpage 7 en_US FEIT.School of Elec, Mech and Mechatronic Systems en_US
dc.conference Verified OK en_US
dc.for 010206 en_US
dc.personcode 997719 en_US
dc.percentage 50 en_US Operations Research en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom International Conference on Intelligent Technologies en_US 20071212 en_US
dc.location.activity Sydney, Australia en_US
dc.description.keywords NA en_US
dc.staffid en_US
dc.staffid 997719 en_US

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