Distance learning in discriminative vector quantization
Schneider P, Biehl M, Hammer B (2009)
Neural Computation 21(10): 2942-2969.
Zeitschriftenaufsatz
| Veröffentlicht | Englisch
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Autor*in
Schneider, P.;
Biehl, M.;
Hammer, BarbaraUniBi ![](https://pub.uni-bielefeld.de/images/icon_orcid.png)
![](https://pub.uni-bielefeld.de/images/icon_orcid.png)
Einrichtung
Erscheinungsjahr
2009
Zeitschriftentitel
Neural Computation
Band
21
Ausgabe
10
Seite(n)
2942-2969
ISSN
0899-7667
eISSN
1530-888X
Page URI
https://pub.uni-bielefeld.de/record/1994008
Zitieren
Schneider P, Biehl M, Hammer B. Distance learning in discriminative vector quantization. Neural Computation. 2009;21(10):2942-2969.
Schneider, P., Biehl, M., & Hammer, B. (2009). Distance learning in discriminative vector quantization. Neural Computation, 21(10), 2942-2969. https://doi.org/10.1162/neco.2009.10-08-892
Schneider, P., Biehl, M., and Hammer, Barbara. 2009. “Distance learning in discriminative vector quantization”. Neural Computation 21 (10): 2942-2969.
Schneider, P., Biehl, M., and Hammer, B. (2009). Distance learning in discriminative vector quantization. Neural Computation 21, 2942-2969.
Schneider, P., Biehl, M., & Hammer, B., 2009. Distance learning in discriminative vector quantization. Neural Computation, 21(10), p 2942-2969.
P. Schneider, M. Biehl, and B. Hammer, “Distance learning in discriminative vector quantization”, Neural Computation, vol. 21, 2009, pp. 2942-2969.
Schneider, P., Biehl, M., Hammer, B.: Distance learning in discriminative vector quantization. Neural Computation. 21, 2942-2969 (2009).
Schneider, P., Biehl, M., and Hammer, Barbara. “Distance learning in discriminative vector quantization”. Neural Computation 21.10 (2009): 2942-2969.
5 Zitationen in Europe PMC
Daten bereitgestellt von Europe PubMed Central.
Application of an interpretable classification model on Early Folding Residues during protein folding.
Bittrich S, Kaden M, Leberecht C, Kaiser F, Villmann T, Labudde D., BioData Min 12(), 2019
PMID: 30627219
Bittrich S, Kaden M, Leberecht C, Kaiser F, Villmann T, Labudde D., BioData Min 12(), 2019
PMID: 30627219
Maintaining Security and Privacy in Health Care System Using Learning Based Deep-Q-Networks.
Mohamed Shakeel P, Baskar S, Sarma Dhulipala VR, Mishra S, Jaber MM., J Med Syst 42(10), 2018
PMID: 30171378
Mohamed Shakeel P, Baskar S, Sarma Dhulipala VR, Mishra S, Jaber MM., J Med Syst 42(10), 2018
PMID: 30171378
Prototype-based models in machine learning.
Biehl M, Hammer B, Villmann T., Wiley Interdiscip Rev Cogn Sci 7(2), 2016
PMID: 26800334
Biehl M, Hammer B, Villmann T., Wiley Interdiscip Rev Cogn Sci 7(2), 2016
PMID: 26800334
Dimensionality-Dependent Generalization Bounds for k-Dimensional Coding Schemes.
Liu T, Tao D, Xu D., Neural Comput 28(10), 2016
PMID: 27391679
Liu T, Tao D, Xu D., Neural Comput 28(10), 2016
PMID: 27391679
Regularization in matrix relevance learning.
Schneider P, Bunte K, Stiekema H, Hammer B, Villmann T, Biehl M., IEEE Trans Neural Netw 21(5), 2010
PMID: 20236882
Schneider P, Bunte K, Stiekema H, Hammer B, Villmann T, Biehl M., IEEE Trans Neural Netw 21(5), 2010
PMID: 20236882
16 References
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