A comparison of two machine-learning techniques to focus the diagnosis task

Authors:
Oscar Prieto;Aníbal Bregón
Affiliations:
Intelligent Systems Group (GSI), Department of Computer Science, University of Valladolid, Spain;Intelligent Systems Group (GSI), Department of Computer Science, University of Valladolid, Spain
Venue:
Proceedings of the 2006 conference on STAIRS 2006: Proceedings of the Third Starting AI Researchers' Symposium
Year:
2006

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Abstract

This work considers a time series classification task: fault identification in dynamic systems. Two methods are compared: i) Boosting and ii) K-Nearest Neighbors with Dynamic Time Warping distance.