Divergence Based Online Learning in Vector Quantization
Villmann T, Haase S, Schleif F-M, Hammer B (2010)
In: Artificial Intelligence and Soft Computing. Lecture Notes in Computer Science, 6113. Rutkowski L, Scherer R, Tadeusiewicz R, Zadeh L, Zurada J (Eds); Berlin, Heidelberg: Springer: 479-486.
Konferenzbeitrag
| Veröffentlicht | Englisch
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Autor*in
Herausgeber*in
Rutkowski, Leszek;
Scherer, Rafal;
Tadeusiewicz, Ryszard;
Zadeh, Lotfi;
Zurada, Jacek
Einrichtung
Erscheinungsjahr
2010
Titel des Konferenzbandes
Artificial Intelligence and Soft Computing. Lecture Notes in Computer Science, 6113
Seite(n)
479-486
ISBN
9783642132070
ISSN
0302-9743
Page URI
https://pub.uni-bielefeld.de/record/1994127
Zitieren
Villmann T, Haase S, Schleif F-M, Hammer B. Divergence Based Online Learning in Vector Quantization. In: Rutkowski L, Scherer R, Tadeusiewicz R, Zadeh L, Zurada J, eds. Artificial Intelligence and Soft Computing. Lecture Notes in Computer Science, 6113. Berlin, Heidelberg: Springer; 2010: 479-486.
Villmann, T., Haase, S., Schleif, F. - M., & Hammer, B. (2010). Divergence Based Online Learning in Vector Quantization. In L. Rutkowski, R. Scherer, R. Tadeusiewicz, L. Zadeh, & J. Zurada (Eds.), Artificial Intelligence and Soft Computing. Lecture Notes in Computer Science, 6113 (pp. 479-486). Berlin, Heidelberg: Springer. https://doi.org/10.1007/978-3-642-13208-7_60
Villmann, Thomas, Haase, Sven, Schleif, Frank-Michael, and Hammer, Barbara. 2010. “Divergence Based Online Learning in Vector Quantization”. In Artificial Intelligence and Soft Computing. Lecture Notes in Computer Science, 6113, ed. Leszek Rutkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi Zadeh, and Jacek Zurada, 479-486. Berlin, Heidelberg: Springer.
Villmann, T., Haase, S., Schleif, F. - M., and Hammer, B. (2010). “Divergence Based Online Learning in Vector Quantization” in Artificial Intelligence and Soft Computing. Lecture Notes in Computer Science, 6113, Rutkowski, L., Scherer, R., Tadeusiewicz, R., Zadeh, L., and Zurada, J. eds. (Berlin, Heidelberg: Springer), 479-486.
Villmann, T., et al., 2010. Divergence Based Online Learning in Vector Quantization. In L. Rutkowski, et al., eds. Artificial Intelligence and Soft Computing. Lecture Notes in Computer Science, 6113. Berlin, Heidelberg: Springer, pp. 479-486.
T. Villmann, et al., “Divergence Based Online Learning in Vector Quantization”, Artificial Intelligence and Soft Computing. Lecture Notes in Computer Science, 6113, L. Rutkowski, et al., eds., Berlin, Heidelberg: Springer, 2010, pp.479-486.
Villmann, T., Haase, S., Schleif, F.-M., Hammer, B.: Divergence Based Online Learning in Vector Quantization. In: Rutkowski, L., Scherer, R., Tadeusiewicz, R., Zadeh, L., and Zurada, J. (eds.) Artificial Intelligence and Soft Computing. Lecture Notes in Computer Science, 6113. p. 479-486. Springer, Berlin, Heidelberg (2010).
Villmann, Thomas, Haase, Sven, Schleif, Frank-Michael, and Hammer, Barbara. “Divergence Based Online Learning in Vector Quantization”. Artificial Intelligence and Soft Computing. Lecture Notes in Computer Science, 6113. Ed. Leszek Rutkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi Zadeh, and Jacek Zurada. Berlin, Heidelberg: Springer, 2010. 479-486.
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