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Michael Biehl: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

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]


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