Performance analysis of LVQ algorithms: a statistical physics approach

Ghosh A, Biehl M, Hammer B (2006)
Neural Networks 19(6-7): 817-829.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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DOI
Autor*in
Ghosh, A.; Biehl, M.; Hammer, BarbaraUniBi
Einrichtung
Technische Fakultät > AG Machine Learning
Erscheinungsjahr
2006
Zeitschriftentitel
Neural Networks
Band
19
Ausgabe
6-7
Seite(n)
817-829
ISSN
0893-6080
Page URI
https://pub.uni-bielefeld.de/record/1993440

Zitieren

Ghosh A, Biehl M, Hammer B. Performance analysis of LVQ algorithms: a statistical physics approach. Neural Networks. 2006;19(6-7):817-829.
Ghosh, A., Biehl, M., & Hammer, B. (2006). Performance analysis of LVQ algorithms: a statistical physics approach. Neural Networks, 19(6-7), 817-829. https://doi.org/10.1016/j.neunet.2006.05.010
Ghosh, A., Biehl, M., and Hammer, Barbara. 2006. “Performance analysis of LVQ algorithms: a statistical physics approach”. Neural Networks 19 (6-7): 817-829.
Ghosh, A., Biehl, M., and Hammer, B. (2006). Performance analysis of LVQ algorithms: a statistical physics approach. Neural Networks 19, 817-829.
Ghosh, A., Biehl, M., & Hammer, B., 2006. Performance analysis of LVQ algorithms: a statistical physics approach. Neural Networks, 19(6-7), p 817-829.
A. Ghosh, M. Biehl, and B. Hammer, “Performance analysis of LVQ algorithms: a statistical physics approach”, Neural Networks, vol. 19, 2006, pp. 817-829.
Ghosh, A., Biehl, M., Hammer, B.: Performance analysis of LVQ algorithms: a statistical physics approach. Neural Networks. 19, 817-829 (2006).
Ghosh, A., Biehl, M., and Hammer, Barbara. “Performance analysis of LVQ algorithms: a statistical physics approach”. Neural Networks 19.6-7 (2006): 817-829.

2 Zitationen in Europe PMC

Daten bereitgestellt von Europe PubMed Central.

Window-based example selection in learning vector quantization.
Witoelar AW, Ghosh A, de Vries JJ, Hammer B, Biehl M., Neural Comput 22(11), 2010
PMID: 20804387
Adaptive relevance matrices in learning vector quantization.
Schneider P, Biehl M, Hammer B., Neural Comput 21(12), 2009
PMID: 19764875

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