2009
DOI: 10.4028/www.scientific.net/kem.413-414.151
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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.