Hyperparameter learning in robust soft LVQ

ESANN 2009 Proceedings, 17th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning

Volumn , Issue , 2009, Pages 517-522

  Schneider, Petra ^a   Biehl, Michael ^a   Hammer, Barbara ^b  

^a UNIVERSITY OF GRONINGEN   (Netherlands)

^b CLAUSTHAL UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BEST VALUE; EXPLICIT COSTS; GRADIENT INFORMATIONS; HYPER-PARAMETER; LEARNING VECTOR QUANTIZATION; REAL LIFE DATA; STOCHASTIC GRADIENT ASCENTS;

COST FUNCTIONS; NEURAL NETWORKS;

VECTOR QUANTIZATION;

EID: 77952351910     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

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2. A. Sato and K. Yamada. Generalized Learning Vector Quantization. In M. C. Mozer D. S. Touretzky and M. E. Hasselmo, editors, Advances in Neural Information Processing Systems 8. Proceedings of the 1995 Conference, pages 423-9, Cambridge, MA, USA, 1996. MIT Press.
3. Sambu Seo and Klaus Obermayer. Soft Learning Vector Quantization. Neural Computation, 15(7):1589-1604, 2003.
4. Sambu Seo and Klaus Obermayer. Dynamic hyper parameter scaling method for LVQ algorithms. In International Joint Conference on Neural Networks, Vancouver, Canada, 2006.
5. Petra Schneider, Michael Biehl, and Barbara Hammer. Distance learning in discriminative vector quantization. Neural Computation, 2009, in press.
6. D. J. Newman, S. Hettich, C. L. Blake, and C. J. Merz. UCI repository of machine learning databases. http://archive.ics.uci.edu/ml/, 1998.