Generalized Functional Relevance Learning Vector Quantization
Kaestner M, Hammer B, Biehl M, Villmann T (2011)
In: European Symposium on Artificial Neural Networks. Verleysen M (Ed); D side: pp. 93-98.
Konferenzbeitrag
| Veröffentlicht | Englisch
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Autor*in
Kaestner, M.;
Hammer, BarbaraUniBi 
;
Biehl, M.;
Villmann, T.
;
Biehl, M.;
Villmann, T.Herausgeber*in
Verleysen, Michel
Einrichtung
Erscheinungsjahr
2011
Titel des Konferenzbandes
European Symposium on Artificial Neural Networks
Seite(n)
pp. 93-98
Page URI
https://pub.uni-bielefeld.de/record/2276500
Zitieren
Kaestner M, Hammer B, Biehl M, Villmann T. Generalized Functional Relevance Learning Vector Quantization. In: Verleysen M, ed. European Symposium on Artificial Neural Networks. D side; 2011: pp. 93-98.
Kaestner, M., Hammer, B., Biehl, M., & Villmann, T. (2011). Generalized Functional Relevance Learning Vector Quantization. In M. Verleysen (Ed.), European Symposium on Artificial Neural Networks (pp. pp. 93-98). D side.
Kaestner, M., Hammer, Barbara, Biehl, M., and Villmann, T. 2011. “Generalized Functional Relevance Learning Vector Quantization”. In European Symposium on Artificial Neural Networks, ed. Michel Verleysen, pp. 93-98. D side.
Kaestner, M., Hammer, B., Biehl, M., and Villmann, T. (2011). “Generalized Functional Relevance Learning Vector Quantization” in European Symposium on Artificial Neural Networks, Verleysen, M. ed. (D side), pp. 93-98.
Kaestner, M., et al., 2011. Generalized Functional Relevance Learning Vector Quantization. In M. Verleysen, ed. European Symposium on Artificial Neural Networks. D side, pp. pp. 93-98.
M. Kaestner, et al., “Generalized Functional Relevance Learning Vector Quantization”, European Symposium on Artificial Neural Networks, M. Verleysen, ed., D side, 2011, pp.pp. 93-98.
Kaestner, M., Hammer, B., Biehl, M., Villmann, T.: Generalized Functional Relevance Learning Vector Quantization. In: Verleysen, M. (ed.) European Symposium on Artificial Neural Networks. p. pp. 93-98. D side (2011).
Kaestner, M., Hammer, Barbara, Biehl, M., and Villmann, T. “Generalized Functional Relevance Learning Vector Quantization”. European Symposium on Artificial Neural Networks. Ed. Michel Verleysen. D side, 2011. pp. 93-98.
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