Can Learning Vector Quantization be an Alternative to SVM and Deep Learning? - Recent Trends and Advanced Variants of Learning Vector Quantization for Classification Learning Cover

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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

Journal of Artificial Intelligence and Soft Computing Research

Volume 7 (2017): Issue 1 (January 2017)

By: Thomas Villmann, Andrea Bohnsack and Marika Kaden

Open Access

|Dec 2016

DOI: https://doi.org/10.1515/jaiscr-2017-0005

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Language: English

Page range: 65 - 81

Published on: Dec 17, 2016

Published by: SAN University

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

classification learning,

vector quantization,

prototype based learning

Related subjects:

Computer sciences,

Artificial intelligence,

Databases and data mining

© 2016 Thomas Villmann, Andrea Bohnsack, Marika Kaden, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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