Barbara Hammer
Barbara Hammer
E-mail confirmado em techfak.uni-bielefeld.de
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Generalized relevance learning vector quantization
B Hammer, T Villmann
Neural Networks 15 (8-9), 1059-1068, 2002
5172002
Adaptive relevance matrices in learning vector quantization
P Schneider, M Biehl, B Hammer
Neural computation 21 (12), 3532-3561, 2009
3722009
Incremental learning algorithms and applications
A Geppert, B Hammer
ESANN, 2016
2272016
Neural maps in remote sensing image analysis
T Villmann, E Merényi, B Hammer
Neural Networks 16 (3-4), 389-403, 2003
2242003
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
2092018
Supervised neural gas with general similarity measure
B Hammer, M Strickert, T Villmann
Neural Processing Letters 21 (1), 21-44, 2005
1802005
Batch and median neural gas
M Cottrell, B Hammer, A Hasenfuß, T Villmann
Neural Networks 19 (6-7), 762-771, 2006
1692006
Merge SOM for temporal data
M Strickert, B Hammer
Neurocomputing 64, 39-71, 2005
1692005
Recursive self-organizing network models
B Hammer, A Micheli, A Sperduti, M Strickert
Neural Networks 17 (8-9), 1061-1085, 2004
1612004
KNN Classifier with Self Adjusting Memory for Heterogeneous Concept Drift
V Losing, B Hammer, H Wersing
IEEE International Conference on Data Mining (ICDM), 2016
1582016
Parametric nonlinear dimensionality reduction using kernel t-SNE
A Gisbrecht, A Schulz, B Hammer
Neurocomputing 147, 71-82, 2015
1522015
Distance learning in discriminative vector quantization
P Schneider, M Biehl, B Hammer
Neural computation 21 (10), 2942-2969, 2009
1322009
A note on the universal approximation capability of support vector machines
B Hammer, K Gersmann
neural processing letters 17 (1), 43-53, 2003
1282003
On the approximation capability of recurrent neural networks
B Hammer
Neurocomputing 31 (1-4), 107-123, 2000
1272000
A general framework for unsupervised processing of structured data
B Hammer, A Micheli, A Sperduti, M Strickert
Neurocomputing 57, 3-35, 2004
1252004
Dynamics and Generalization Ability of LVQ Algorithms.
M Biehl, A Ghosh, B Hammer
Journal of Machine Learning Research 8 (2), 2007
1222007
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
1202012
Topographic mapping of large dissimilarity data sets
B Hammer, A Hasenfuss
Neural Computation 22 (9), 2229-2284, 2010
1182010
Relevance determination in Learning Vector Quantization.
T Bojer, B Hammer, D Schunk, KT Von Toschanowitz
ESANN 1, 271-276, 2001
1062001
Perspectives of neural-symbolic integration
B Hammer, P Hitzler
Springer, 2007
1052007
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Artigos 1–20