Feature Extraction from Spectral Data Using the Bayesian Evidence Framework
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.
F. Chu, H. Ouyang, V. Silberschmidt, L. Garibaldi, C.Surace, W.M. Ostachowicz and D. Jiang
J. J. Hensman and R. J. Barthorpe, "Feature Extraction from Spectral Data Using the Bayesian Evidence Framework", Key Engineering Materials, Vols. 413-414, pp. 151-158, 2009