Adaptive relevance matrices in learning vector quantization

Schneider P, Biehl M, Hammer B (2009)
Neural Computation 21(12): 3532-3561.

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Zeitschriftenaufsatz | Veröffentlicht | Englisch
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Neural Computation
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21
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12
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3532-3561
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Schneider P, Biehl M, Hammer B. Adaptive relevance matrices in learning vector quantization. Neural Computation. 2009;21(12):3532-3561.
Schneider, P., Biehl, M., & Hammer, B. (2009). Adaptive relevance matrices in learning vector quantization. Neural Computation, 21(12), 3532-3561. doi:10.1162/neco.2009.11-08-908
Schneider, P., Biehl, M., and Hammer, B. (2009). Adaptive relevance matrices in learning vector quantization. Neural Computation 21, 3532-3561.
Schneider, P., Biehl, M., & Hammer, B., 2009. Adaptive relevance matrices in learning vector quantization. Neural Computation, 21(12), p 3532-3561.
P. Schneider, M. Biehl, and B. Hammer, “Adaptive relevance matrices in learning vector quantization”, Neural Computation, vol. 21, 2009, pp. 3532-3561.
Schneider, P., Biehl, M., Hammer, B.: Adaptive relevance matrices in learning vector quantization. Neural Computation. 21, 3532-3561 (2009).
Schneider, P., Biehl, M., and Hammer, Barbara. “Adaptive relevance matrices in learning vector quantization”. Neural Computation 21.12 (2009): 3532-3561.

18 Zitationen in Europe PMC

Daten bereitgestellt von Europe PubMed Central.

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Analysis of flow cytometry data by matrix relevance learning vector quantization.
Biehl M, Bunte K, Schneider P., PLoS One 8(3), 2013
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Incorporating privileged information through metric learning.
Fouad S, Tino P, Raychaudhury S, Schneider P., IEEE Trans Neural Netw Learn Syst 24(7), 2013
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