Barbara Hammer
Title
Cited by
Cited by
Year
Generalized relevance learning vector quantization
B Hammer, T Villmann
Neural Networks 15 (8-9), 1059-1068, 2002
4692002
Adaptive relevance matrices in learning vector quantization
P Schneider, M Biehl, B Hammer
Neural computation 21 (12), 3532-3561, 2009
3362009
Neural maps in remote sensing image analysis
T Villmann, E Merényi, B Hammer
Neural Networks 16 (3-4), 389-403, 2003
2082003
Supervised neural gas with general similarity measure
B Hammer, M Strickert, T Villmann
Neural Processing Letters 21 (1), 21-44, 2005
1702005
Merge SOM for temporal data
M Strickert, B Hammer
Neurocomputing 64, 39-71, 2005
1612005
Batch and median neural gas
M Cottrell, B Hammer, A Hasenfuß, T Villmann
Neural Networks 19 (6-7), 762-771, 2006
1602006
Recursive self-organizing network models
B Hammer, A Micheli, A Sperduti, M Strickert
Neural Networks 17 (8-9), 1061-1085, 2004
1472004
Incremental learning algorithms and applications
A Geppert, B Hammer
ESANN, 2016
1382016
Dynamics and generalization ability of LVQ algorithms
M Biehl, A Ghosh, B Hammer
Journal of Machine Learning Research 8 (Feb), 323-360, 2007
1202007
A general framework for unsupervised processing of structured data
B Hammer, A Micheli, A Sperduti, M Strickert
Neurocomputing 57, 3-35, 2004
1202004
Distance learning in discriminative vector quantization
P Schneider, M Biehl, B Hammer
Neural computation 21 (10), 2942-2969, 2009
1172009
Incremental on-line learning: A review and comparison of state of the art algorithms
V Losing, B Hammer, H Wersing
Neurocomputing 275, 1261-1274, 2018
1152018
Topographic mapping of large dissimilarity data sets
B Hammer, A Hasenfuss
Neural Computation 22 (9), 2229-2284, 2010
1132010
A note on the universal approximation capability of support vector machines
B Hammer, K Gersmann
neural processing letters 17 (1), 43-53, 2003
1112003
Relevance determination in Learning Vector Quantization.
T Bojer, B Hammer, D Schunk, KT Von Toschanowitz
ESANN, 271-276, 2001
1042001
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
1022012
On the approximation capability of recurrent neural networks
B Hammer
Neurocomputing 31 (1-4), 107-123, 2000
1022000
On the generalization ability of GRLVQ networks
B Hammer, M Strickert, T Villmann
Neural Processing Letters 21 (2), 109-120, 2005
952005
KNN Classifier with Self Adjusting Memory for Heterogeneous Concept Drift
V Losing, B Hammer, H Wersing
IEEE International Conference on Data Mining (ICDM), 2016
912016
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
912010
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