Paper Title:
Feature Extraction from Spectral Data Using the Bayesian Evidence Framework
  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.

  Info
Periodical
Key Engineering Materials (Volumes 413-414)
Edited by
F. Chu, H. Ouyang, V. Silberschmidt, L. Garibaldi, C.Surace, W.M. Ostachowicz and D. Jiang
Pages
151-158
DOI
10.4028/www.scientific.net/KEM.413-414.151
Citation
J. J. Hensman, R. J. Barthorpe, "Feature Extraction from Spectral Data Using the Bayesian Evidence Framework", Key Engineering Materials, Vols. 413-414, pp. 151-158, 2009
Online since
June 2009
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Price
$32.00
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