Barbara Hammer
Barbara Hammer
Dirección de correo verificada de techfak.uni-bielefeld.de
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Citado por
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Año
Generalized relevance learning vector quantization
B Hammer, T Villmann
Neural Networks 15 (8-9), 1059-1068, 2002
4632002
Adaptive relevance matrices in learning vector quantization
P Schneider, M Biehl, B Hammer
Neural computation 21 (12), 3532-3561, 2009
3242009
Neural maps in remote sensing image analysis
T Villmann, E Merényi, B Hammer
Neural Networks 16 (3-4), 389-403, 2003
2042003
Supervised neural gas with general similarity measure
B Hammer, M Strickert, T Villmann
Neural Processing Letters 21 (1), 21-44, 2005
1712005
Merge SOM for temporal data
M Strickert, B Hammer
Neurocomputing 64, 39-71, 2005
1592005
Batch and median neural gas
M Cottrell, B Hammer, A Hasenfuß, T Villmann
Neural Networks 19 (6-7), 762-771, 2006
1562006
Recursive self-organizing network models
B Hammer, A Micheli, A Sperduti, M Strickert
Neural Networks 17 (8-9), 1061-1085, 2004
1432004
Incremental learning algorithms and applications
A Geppert, B Hammer
ESANN, 2016
1212016
Dynamics and generalization ability of LVQ algorithms
M Biehl, A Ghosh, B Hammer
Journal of Machine Learning Research 8 (Feb), 323-360, 2007
1172007
A general framework for unsupervised processing of structured data
B Hammer, A Micheli, A Sperduti, M Strickert
Neurocomputing 57, 3-35, 2004
1172004
Distance learning in discriminative vector quantization
P Schneider, M Biehl, B Hammer
Neural computation 21 (10), 2942-2969, 2009
1162009
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
1072003
Relevance determination in Learning Vector Quantization.
T Bojer, B Hammer, D Schunk, KT Von Toschanowitz
ESANN, 271-276, 2001
1032001
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
1002012
On the generalization ability of GRLVQ networks
B Hammer, M Strickert, T Villmann
Neural Processing Letters 21 (2), 109-120, 2005
972005
On the approximation capability of recurrent neural networks
B Hammer
Neurocomputing 31 (1-4), 107-123, 2000
972000
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
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
892018
Perspectives of neural-symbolic integration
B Hammer, P Hitzler
Springer, 2007
842007
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Artículos 1–20