Statistical Foundations of Intelligent Technologies

Publisher:
University of Technology, Sydney
Publication Type:
Conference Proceeding
Citation:
Proceedings of The 8th International Conference on Intelligent Technologies (InTech07) : intelligent technologies in robotics and automation, 2007, pp. 1 - 7
Issue Date:
2007-01
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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
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