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Journals
Journal of Artificial Intelligence and Soft Computing Research
Volume 7 (2017): Issue 1 (January 2017)
Open Access
Can Learning Vector Quantization be an Alternative to SVM and Deep Learning? - Recent Trends and Advanced Variants of Learning Vector Quantization for Classification Learning
Thomas Villmann
Thomas Villmann
,
Andrea Bohnsack
Andrea Bohnsack
and
Marika Kaden
Marika Kaden
| Dec 17, 2016
Journal of Artificial Intelligence and Soft Computing Research
Volume 7 (2017): Issue 1 (January 2017)
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Published Online:
Dec 17, 2016
Page range:
65 - 81
DOI:
https://doi.org/10.1515/jaiscr-2017-0005
Keywords
classification learning
,
vector quantization
,
prototype based learning
© 2016
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
Thomas Villmann
Computational Intelligence Group, University of Applied Sciences Mittweida,
Germany
Andrea Bohnsack
Computational Intelligence Group, University of Applied Sciences Mittweida, Germany
Germany
Staatliche Berufliche Oberschule Kaufbeuren,
Germany
Marika Kaden
Computational Intelligence Group, University of Applied Sciences Mittweida,
Germany