VILLMANN, T., HAASE, S., & KADEN, M. (2015). Kernelized vector quantization in gradient-descent learning : Advances in Self-Organizing Maps. Neurocomputing (Amsterdam), 147, 83-95.
ISO-690 (author-date, English)VILLMANN, Thomas, HAASE, Sven and KADEN, Marika, 2015. Kernelized vector quantization in gradient-descent learning : Advances in Self-Organizing Maps. Neurocomputing (Amsterdam). 1 January 2015. Vol. 147, , p. 83-95.
Modern Language Association 9th editionVILLMANN, T., S. HAASE, and M. KADEN. “Kernelized Vector Quantization in Gradient-Descent Learning : Advances in Self-Organizing Maps”. Neurocomputing (Amsterdam), vol. 147, Jan. 2015, pp. 83-95.
Mohr Siebeck - Recht (Deutsch - Österreich)VILLMANN, Thomas/HAASE, Sven/KADEN, Marika: Kernelized vector quantization in gradient-descent learning : Advances in Self-Organizing Maps, Neurocomputing (Amsterdam) 2015, 83-95.
Emerald - HarvardVILLMANN, T., HAASE, S. and KADEN, M. (2015), “Kernelized vector quantization in gradient-descent learning : Advances in Self-Organizing Maps”, Neurocomputing (Amsterdam), Vol. 147, pp. 83-95.