论文信息 - Feature Extraction from Spectral Data Using the Bayesian Evidence Framework

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.

James Hensman | R. J. Barthorpe

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