Investigation of Activation Functions for Generalized Learning Vector Quantization

Author:

Villmann Thomas,Ravichandran Jensun,Villmann Andrea,Nebel David,Kaden Marika

Publisher

Springer International Publishing

Reference29 articles.

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2. Villmann T, Saralajew S, Villmann A, Kaden M (2018) Learning vector quantization methods for interpretable classification learning and multilayer networks. In: Sabourin C, Merelo JJ, Barranco AL, Madani K, Warwick K (eds) Proceedings of the 10th international joint conference on computational intelligence (IJCCI), Sevilla. SCITEPRESS - Science and Technology Publications, Lda., Lisbon, pp 15–21. ISBN 978-989-758-327-8

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4. Crammer K, Gilad-Bachrach R, Navot A, Tishby A (2003) Margin analysis of the LVQ algorithm. In: Becker S, Thrun S, Obermayer K (eds) Advances in neural information processing (Proceedings of NIPS 2002), vol 15. MIT Press, Cambridge, pp 462–469

5. Schneider P, Hammer B, Biehl M (2009) Adaptive relevance matrices in learning vector quantization. Neural Comput 21:3532–3561

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