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Proceedings Paper

The reveal of a set of informative features in the task of diagnosis on a base of exhaled air absorption spectra analysis using nonparametric algorithms of pattern recognition
Author(s): A. P. Serykch; Yu. V. Kistenev; A. V. Borisov
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Paper Abstract

The informative complex of the features in the task of diagnosis on a base of exhaled air absorption spectra analysis based on the training sequences using nonparametric algorithm of pattern recognition "k-nearest neighbors" and ordered enumeration algorithms characteristics and validation had been revealed.

Paper Details

Date Published: 15 December 2015
PDF: 6 pages
Proc. SPIE 9810, International Conference on Atomic and Molecular Pulsed Lasers XII, 981021 (15 December 2015); doi: 10.1117/12.2225612
Show Author Affiliations
A. P. Serykch, National Research Tomsk State Univ. (Russian Federation)
Yu. V. Kistenev, National Research Tomsk State Univ. (Russian Federation)
A. V. Borisov, National Research Tomsk State Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 9810:
International Conference on Atomic and Molecular Pulsed Lasers XII
Victor F. Tarasenko; Andrey M. Kabanov; Andrey M. Kabanov, Editor(s)

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