Phase transitions in vector quantization and neural gas

Author:

Witoelar Aree,Biehl Michael

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference20 articles.

1. Statistical physics and practical training of soft-committee machines;Ahr;Eur. Phys. J. B,1999

2. Pattern Recognition with Fuzzy Objective Function Algorithms;Bezdek,1981

3. M. Biehl, A. Freking, A. Ghosh, G. Reents, A theoretical framework for analysing the dynamics of LVQ: a statistical physics approach, Technical Report 2004-9-02, Mathematics and Computing Science, University Groningen, the Netherlands, December 2004, available from: 〈http://www.cs.rug.nl/∼biehl〉.

4. Dynamics and generalization ability of LVQ algorithms;Biehl;J. Mach. Learning Res.,2007

5. Phase transitions in soft-committee machines;Biehl;Europhys. Lett.,1998

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