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2013 | OriginalPaper | Chapter

7. Discussion

Authors : Jenny Terzic, Edin Terzic, Romesh Nagarajah, Muhammad Alamgir

Published in: Ultrasonic Fluid Quantity Measurement in Dynamic Vehicular Applications

Publisher: Springer International Publishing

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Abstract

This chapter provides discussion on the selection and design of the SVM-based signal processing system. The selection parameters used for the SVM-based system and the results obtained from the experimentations, and the possible improvements to the design of the SVM-based system are all discussed in this section.

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previous chapter Results
next chapter Conclusion and Future Work
Literature
1.
Hu Y, Hwang JN (2002) Handbook of neural network signal processing. CRC Press, Boca Raton
2.
Tony J (2004) Multi-task feature and kernel selection for SVMs. In: Proceedings of the 21st international conference on machine learning
3.
Fukunaga K (1990) Introduction to statistical pattern recognition. Academic Press, Boston
4.
Bousquet O, Von Luxburg U, Rätsch G (2004) Machine Learning Summer School; Advanced lectures on machine learning: ML summer schools 2003, Canberra, Australia, Feb 2–14, 2003, Tübingen, Germany, Aug 4–16, 2003 : revised lectures. Bousquet O, Von Luxburg U, Rätsch G (eds). Springer, New York
5.
Trunk GV (1979) A problem of dimensionality: a simple example. Pattern Anal Mach Intell (PAMI) 1(3):306–307
Metadata
Title
Discussion
Authors
Jenny Terzic
Edin Terzic
Romesh Nagarajah
Muhammad Alamgir
Copyright Year
2013
Publisher
Springer International Publishing
Book
Ultrasonic Fluid Quantity Measurement in Dynamic Vehicular Applications

Print ISBN: 978-3-319-00632-1

Electronic ISBN: 978-3-319-00633-8

Copyright Year: 2013

DOI
https://doi.org/10.1007/978-3-319-00633-8_7

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