Optimized Support Vector Machine for classifying infant cries with asphyxia using Orthogonal Least Square

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Optimized Support Vector Machine for classifying infant cries with asphyxia using Orthogonal Least Square

This paper investigates the effect of optimizing Support Vector Machine, with linear and RBF kernels, on its performance in classifying asphyxiated infant cries, with Orthogonal Least Square. Mel Frequency Cepstrum analysis first extracts feature from the infant cry signals. The extracted features a...

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Bibliographic Details
Published in:	ICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics
Main Author:	Sahak R.; Lee Y.K.; Mansor W.; Yassin A.I.M.; Zabidi A.
Format:	Conference paper
Language:	English
Published:	2010
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-79953897666&doi=10.1109%2fICCAIE.2010.5735023&partnerID=40&md5=2c3a3799a2d86964e0d9e1b517a1cd3b

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