KEM 2009 DOI: 10.4028/www.scientific.net/kem.413-414.151 View full text
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James J. Hensman, Rob J. Barthorpe

Abstract: The optimal selection of discriminatory features from large datasets remains a pressing problem in damage identification. In this paper, a Bayesian approach to classification and feature selection is introduced and applied to a challenging experimental problem.