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. 109-118.

Conference Paper | Published | English

No fulltext has been uploaded

Author
; ; ; ;
Editor
Villmann, Thomas ; Schleif, Frank-Michael ; Kaden, Marika ; Lange, Mandy
Publishing Year
PUB-ID

Cite this

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. 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).
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, ed. T. Villmann, F. - M. Schleif, M. Kaden, and M. Lange Advances in Intelligent Systems and Computing, vol. 295, 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 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, 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. (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. 2014.Vol. 295. Advances in Intelligent Systems and Computing. 109-118.
This data publication is cited in the following publications:
This publication cites the following data publications:

Export

0 Marked Publications

Open Data PUB

Search this title in

Google Scholar
ISBN Search