Rejection Strategies for Learning Vector Quantization – A Comparison of Probabilistic and Deterministic Approaches
Fischer L, Nebel D, Villmann T, Hammer B, Wersing H (2014)
In: Advances in Self-Organizing Maps and Learning Vector Quantization. Villmann T, Schleif F-M, Kaden M, Lange M (Eds); Advances in Intelligent Systems and Computing, 295. Cham: Springer International Publishing: 109-118.
Konferenzbeitrag
| Veröffentlicht | Englisch
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Autor*in
Herausgeber*in
Villmann, Thomas;
Schleif, Frank-Michael;
Kaden, Marika;
Lange, Mandy
Einrichtung
Erscheinungsjahr
2014
Titel des Konferenzbandes
Advances in Self-Organizing Maps and Learning Vector Quantization
Serien- oder Zeitschriftentitel
Advances in Intelligent Systems and Computing
Band
295
Seite(n)
109-118
ISBN
978-3-319-07694-2
ISSN
2194-5357
Page URI
https://pub.uni-bielefeld.de/record/2774643
Zitieren
Fischer L, Nebel D, Villmann T, Hammer B, Wersing H. Rejection Strategies for Learning Vector Quantization – A Comparison of Probabilistic and Deterministic Approaches. In: Villmann T, Schleif F-M, Kaden M, Lange M, eds. Advances in Self-Organizing Maps and Learning Vector Quantization. Advances in Intelligent Systems and Computing. Vol 295. Cham: Springer International Publishing; 2014: 109-118.
Fischer, L., Nebel, D., Villmann, T., Hammer, B., & Wersing, H. (2014). Rejection Strategies for Learning Vector Quantization – A Comparison of Probabilistic and Deterministic Approaches. In T. Villmann, F. - M. Schleif, M. Kaden, & M. Lange (Eds.), Advances in Intelligent Systems and Computing: Vol. 295. Advances in Self-Organizing Maps and Learning Vector Quantization (pp. 109-118). Cham: Springer International Publishing. doi:10.1007/978-3-319-07695-9_10
Fischer, Lydia, Nebel, David, Villmann, Thomas, Hammer, Barbara, and Wersing, Heiko. 2014. “Rejection Strategies for Learning Vector Quantization – A Comparison of Probabilistic and Deterministic Approaches”. In Advances in Self-Organizing Maps and Learning Vector Quantization, ed. Thomas Villmann, Frank-Michael Schleif, Marika Kaden, and Mandy Lange, 295:109-118. Advances in Intelligent Systems and Computing. Cham: Springer International Publishing.
Fischer, L., Nebel, D., Villmann, T., Hammer, B., and Wersing, H. (2014). “Rejection Strategies for Learning Vector Quantization – A Comparison of Probabilistic and Deterministic Approaches” in Advances in Self-Organizing Maps and Learning Vector Quantization, Villmann, T., Schleif, F. - M., Kaden, M., and Lange, M. eds. Advances in Intelligent Systems and Computing, vol. 295, (Cham: Springer International Publishing), 109-118.
Fischer, L., et al., 2014. Rejection Strategies for Learning Vector Quantization – A Comparison of Probabilistic and Deterministic Approaches. In T. Villmann, et al., eds. Advances in Self-Organizing Maps and Learning Vector Quantization. Advances in Intelligent Systems and Computing. no.295 Cham: Springer International Publishing, pp. 109-118.
L. Fischer, et al., “Rejection Strategies for Learning Vector Quantization – A Comparison of Probabilistic and Deterministic Approaches”, Advances in Self-Organizing Maps and Learning Vector Quantization, T. Villmann, et al., eds., Advances in Intelligent Systems and Computing, vol. 295, Cham: Springer International Publishing, 2014, pp.109-118.
Fischer, L., Nebel, D., Villmann, T., Hammer, B., Wersing, H.: Rejection Strategies for Learning Vector Quantization – A Comparison of Probabilistic and Deterministic Approaches. In: Villmann, T., Schleif, F.-M., Kaden, M., and Lange, M. (eds.) Advances in Self-Organizing Maps and Learning Vector Quantization. Advances in Intelligent Systems and Computing. 295, p. 109-118. Springer International Publishing, Cham (2014).
Fischer, Lydia, Nebel, David, Villmann, Thomas, Hammer, Barbara, and Wersing, Heiko. “Rejection Strategies for Learning Vector Quantization – A Comparison of Probabilistic and Deterministic Approaches”. Advances in Self-Organizing Maps and Learning Vector Quantization. Ed. Thomas Villmann, Frank-Michael Schleif, Marika Kaden, and Mandy Lange. Cham: Springer International Publishing, 2014.Vol. 295. Advances in Intelligent Systems and Computing. 109-118.
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