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Publications of Author

1. Christoph Bunzmann, Michael Biehl, Robert Urbanczik
   Supervised learning in committee machines by PCA. [Citation Graph (0, 0)][DBLP]
   ESANN, 2002, pp:125-130 [Conf]
   
2. Michael Biehl, Anarta Ghosh, Barbara Hammer
   The dynamics of Learning Vector Quantization. [Citation Graph (0, 0)][DBLP]
   ESANN, 2005, pp:13-18 [Conf]
   
3. Michael Biehl, Piter Pasma, Marten Pijl, Lidia Sánchez, Nicolai Petkov
   Classification of Boar Sperm Head Images using Learning Vector Quantization. [Citation Graph (0, 0)][DBLP]
   ESANN, 2006, pp:545-550 [Conf]
   
4. Michael Biehl, Anarta Ghosh, Barbara Hammer
   Learning vector quantization: The dynamics of winner-takes-all algorithms. [Citation Graph (0, 0)][DBLP]
   Neurocomputing, 2006, v:69, n:7-9, pp:660-670 [Journal]
   
5. Anarta Ghosh, Michael Biehl, Barbara Hammer
   Performance analysis of LVQ algorithms: A statistical physics approach. [Citation Graph (0, 0)][DBLP]
   Neural Networks, 2006, v:19, n:6-7, pp:817-829 [Journal]
   
6. Michael Biehl, Erzsébet Merényi, Fabrice Rossi
   Advances in computational intelligence and learning. [Citation Graph (0, 0)][DBLP]
   Neurocomputing, 2007, v:70, n:7-9, pp:1117-1119 [Journal]
   
7. 
   Nonlinear Dimension Reduction and Visualization of Labeled Data. [Citation Graph (, )][DBLP]
   
   
8. 
   Learning Vector Quantization: generalization ability and dynamics of competing prototypes. [Citation Graph (, )][DBLP]
   
   
9. 
   07131 Summary -- Similarity-based Clustering and its Application to Medicine and Biology. [Citation Graph (, )][DBLP]
   
   
10. 
    07131 Abstracts Collection -- Similarity-based Clustering and its Application to Medicine and Biology. [Citation Graph (, )][DBLP]
    
    
11. 
    Statistical Mechanics of On-line Learning. [Citation Graph (, )][DBLP]
    
    
12. 
    Some Theoretical Aspects of the Neural Gas Vector Quantizer. [Citation Graph (, )][DBLP]
    
    
13. 
    On the dynamics of Vector Quantization and Neural Gas. [Citation Graph (, )][DBLP]
    
    
14. 
    Relevance matrices in LVQ. [Citation Graph (, )][DBLP]
    
    
15. 
    Phase transitions in Vector Quantization. [Citation Graph (, )][DBLP]
    
    
16. 
    Generalized matrix learning vector quantizer for the analysis of spectral data. [Citation Graph (, )][DBLP]
    
    
17. 
    Analysis of Tiling Microarray Data by Learning Vector Quantization and Relevance Learning. [Citation Graph (, )][DBLP]
    
    
18. 
    Generalized Derivative Based Kernelized Learning Vector Quantization. [Citation Graph (, )][DBLP]
    
    
19. 
    Matrix Metric Adaptation Linear Discriminant Analysis of Biomedical Data. [Citation Graph (, )][DBLP]
    
    
20. 
    The Mathematics of Divergence Based Online Learning in Vector Quantization. [Citation Graph (, )][DBLP]
    
    
21. 
    Discriminatory Data Mapping by Matrix-Based Supervised Learning Metrics. [Citation Graph (, )][DBLP]