Barbara Hammer
TitleCited byYear
Generalized relevance learning vector quantization
B Hammer, T Villmann
Neural Networks 15 (8-9), 1059-1068, 2002
4412002
Adaptive relevance matrices in learning vector quantization
P Schneider, M Biehl, B Hammer
Neural computation 21 (12), 3532-3561, 2009
3012009
Neural maps in remote sensing image analysis
T Villmann, E Merényi, B Hammer
Neural Networks 16 (3-4), 389-403, 2003
2012003
Supervised neural gas with general similarity measure
B Hammer, M Strickert, T Villmann
Neural Processing Letters 21 (1), 21-44, 2005
1662005
Batch and median neural gas
M Cottrell, B Hammer, A Hasenfuß, T Villmann
Neural Networks 19 (6-7), 762-771, 2006
1522006
Merge SOM for temporal data
M Strickert, B Hammer
Neurocomputing 64, 39-71, 2005
1522005
Recursive self-organizing network models
B Hammer, A Micheli, A Sperduti, M Strickert
Neural Networks 17 (8-9), 1061-1085, 2004
1362004
A general framework for unsupervised processing of structured data
B Hammer, A Micheli, A Sperduti, M Strickert
Neurocomputing 57, 3-35, 2004
1142004
Topographic mapping of large dissimilarity data sets
B Hammer, A Hasenfuss
Neural Computation 22 (9), 2229-2284, 2010
1122010
Distance learning in discriminative vector quantization
P Schneider, M Biehl, B Hammer
Neural computation 21 (10), 2942-2969, 2009
1082009
Dynamics and generalization ability of LVQ algorithms
M Biehl, A Ghosh, B Hammer
Journal of Machine Learning Research 8 (Feb), 323-360, 2007
1082007
A note on the universal approximation capability of support vector machines
B Hammer, K Gersmann
Neural Processing Letters 17 (1), 43-53, 2003
992003
Relevance determination in Learning Vector Quantization.
T Bojer, B Hammer, D Schunk, KT Von Toschanowitz
ESANN, 271-276, 2001
992001
Limited rank matrix learning, discriminative dimension reduction and visualization
K Bunte, P Schneider, B Hammer, FM Schleif, T Villmann, M Biehl
Neural Networks 26, 159-173, 2012
922012
On the generalization ability of GRLVQ networks
B Hammer, M Strickert, T Villmann
Neural Processing Letters 21 (2), 109-120, 2005
902005
Incremental learning algorithms and applications
A Geppert, B Hammer
ESANN, 2016
892016
Regularization in matrix relevance learning
P Schneider, K Bunte, H Stiekema, B Hammer, T Villmann, M Biehl
IEEE Transactions on Neural Networks 21 (5), 831-840, 2010
862010
On the approximation capability of recurrent neural networks
B Hammer
Neurocomputing 31 (1-4), 107-123, 2000
852000
Perspectives of neural-symbolic integration
B Hammer, P Hitzler
Springer, 2007
732007
Recurrent neural networks with small weights implement definite memory machines
B Hammer, P Tiňo
Neural Computation 15 (8), 1897-1929, 2003
702003
The system can't perform the operation now. Try again later.
Articles 1–20