2009 |
20 | EE | Frank-Michael Schleif,
Michael Biehl,
Alfredo Vellido:
Advances in machine learning and computational intelligence.
Neurocomputing 72(7-9): 1377-1378 (2009) |
19 | EE | Aree Witoelar,
Michael Biehl:
Phase transitions in vector quantization and neural gas.
Neurocomputing 72(7-9): 1390-1397 (2009) |
2008 |
18 | EE | Marc Strickert,
Petra Schneider,
Jens Keilwagen,
Thomas Villmann,
Michael Biehl,
Barbara Hammer:
Discriminatory Data Mapping by Matrix-Based Supervised Learning Metrics.
ANNPR 2008: 78-89 |
17 | EE | Aree Witoelar,
Anarta Ghosh,
Michael Biehl:
Phase transitions in Vector Quantization.
ESANN 2008: 221-226 |
16 | EE | Petra Schneider,
Frank-Michael Schleif,
Thomas Villmann,
Michael Biehl:
Generalized matrix learning vector quantizer for the analysis of spectral data.
ESANN 2008: 451-456 |
15 | EE | Fabrice Rossi,
Michael Biehl,
Cecilio Angulo Bahón:
Progress in modeling, theory, and application of computational intelligence.
Neurocomputing 71(7-9): 1117-1119 (2008) |
14 | EE | Aree Witoelar,
Michael Biehl,
Anarta Ghosh,
Barbara Hammer:
Learning dynamics and robustness of vector quantization and neural gas.
Neurocomputing 71(7-9): 1210-1219 (2008) |
2007 |
13 | | Michael Biehl,
Barbara Hammer,
Michel Verleysen,
Thomas Villmann:
Similarity-based Clustering and its Application to Medicine and Biology, 25.03. - 30.03.2007
Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany 2007 |
12 | EE | Aree Witoelar,
Michael Biehl,
Anarta Ghosh,
Barbara Hammer:
On the dynamics of Vector Quantization and Neural Gas.
ESANN 2007: 127-132 |
11 | EE | Petra Schneider,
Michael Biehl,
Barbara Hammer:
Relevance matrices in LVQ.
ESANN 2007: 37-42 |
10 | EE | Michael Biehl,
Rainer Breitling,
Yang Li:
Analysis of Tiling Microarray Data by Learning Vector Quantization and Relevance Learning.
IDEAL 2007: 880-889 |
9 | EE | Michael Biehl,
Barbara Hammer,
Michel Verleysen,
Thomas Villmann:
07131 Abstracts Collection -- Similarity-based Clustering and its Application to Medicine and Biology.
Similarity-based Clustering and its Application to Medicine and Biology 2007 |
8 | EE | Michael Biehl,
Barbara Hammer,
Michel Verleysen,
Thomas Villmann:
07131 Summary -- Similarity-based Clustering and its Application to Medicine and Biology.
Similarity-based Clustering and its Application to Medicine and Biology 2007 |
7 | EE | Aree Witoelar,
Michael Biehl,
Barbara Hammer:
Learning Vector Quantization: generalization ability and dynamics of competing prototypes.
Similarity-based Clustering and its Application to Medicine and Biology 2007 |
6 | EE | Michael Biehl,
Erzsébet Merényi,
Fabrice Rossi:
Advances in computational intelligence and learning.
Neurocomputing 70(7-9): 1117-1119 (2007) |
2006 |
5 | EE | Michael Biehl,
Piter Pasma,
Marten Pijl,
Lidia Sánchez,
Nicolai Petkov:
Classification of Boar Sperm Head Images using Learning Vector Quantization.
ESANN 2006: 545-550 |
4 | EE | Anarta Ghosh,
Michael Biehl,
Barbara Hammer:
Performance analysis of LVQ algorithms: A statistical physics approach.
Neural Networks 19(6-7): 817-829 (2006) |
3 | EE | Michael Biehl,
Anarta Ghosh,
Barbara Hammer:
Learning vector quantization: The dynamics of winner-takes-all algorithms.
Neurocomputing 69(7-9): 660-670 (2006) |
2005 |
2 | EE | Michael Biehl,
Anarta Ghosh,
Barbara Hammer:
The dynamics of Learning Vector Quantization.
ESANN 2005: 13-18 |
2002 |
1 | | Christoph Bunzmann,
Michael Biehl,
Robert Urbanczik:
Supervised learning in committee machines by PCA.
ESANN 2002: 125-130 |