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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

Germany
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Villmann, Thomas
, 
Andrea Bohnsack

Andrea Bohnsack

  • Germany
  • Germany
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Bohnsack, Andrea
 and 
Marika Kaden

Marika Kaden

Germany
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Kaden, Marika
  
Dec 17, 2016
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Published Online: Dec 17, 2016
Page range: 65 - 81
DOI: https://doi.org/10.1515/jaiscr-2017-0005
Keywords
© 2016
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
Villmann, Thomas
Germany
Bohnsack, Andrea
Germany
Germany
Kaden, Marika
Germany
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Computer Sciences, Artificial Intelligence, Databases and Data Mining
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