Probabilistic Prototype Classification Using t-norms

Author:

Geweniger Tina,Schleif Frank-Michael,Villmann Thomas

Publisher

Springer International Publishing

Reference17 articles.

1. Schneider, P., Geweniger, T., Schleif, F.M., Biehl, M., Villmann, T.: Multivariate class labeling in Robust Soft LVQ. In: Verleysen, M. (ed.) 19th European Symposium on Artificial Neural Networks (ESANN 2011), pp. 17–22. d-side publishing (2011)

2. Bhattacharya, S., Bhatnagar, V.: Fuzzy data mining: A literature survey and classification framework. International Journal of Networking and Virtual Organisations 11(3-4), 382–408 (2012)

3. Bonilla, E.V., Robles-Kelly, A.: Discriminative probabilistic prototype learning. In: ICML. icml.cc / Omnipress (2012)

4. Geweniger, T., Villmann, T.: Extending FSNPC to handle data points with fuzzy class assignments. In: Verleysen, M. (ed.) Proc. of European Symposium on Artificial Neural Networks (ESANN 2010), Brussels, Belgium. d-side publications (2010)

5. Schleif, F.-M., Villmann, T., Hammer, B., Schneider, P.: Efficient kernelized prototype based classification. Int. J. Neural Syst. 21(6), 443–457 (2011)

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