Follow
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
5692002
Adaptive relevance matrices in learning vector quantization
P Schneider, M Biehl, B Hammer
Neural computation 21 (12), 3532-3561, 2009
4552009
Incremental learning algorithms and applications
A Geppert, B Hammer
ESANN, 2016
4342016
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
3722018
KNN Classifier with Self Adjusting Memory for Heterogeneous Concept Drift
V Losing, B Hammer, H Wersing
IEEE International Conference on Data Mining (ICDM), 2016
2732016
Parametric nonlinear dimensionality reduction using kernel t-SNE
A Gisbrecht, A Schulz, B Hammer
Neurocomputing 147, 71-82, 2015
2682015
Neural maps in remote sensing image analysis
T Villmann, E Merényi, B Hammer
Neural Networks 16 (3-4), 389-403, 2003
2362003
Batch and median neural gas
M Cottrell, B Hammer, A Hasenfuß, T Villmann
Neural Networks 19 (6-7), 762-771, 2006
1962006
Supervised neural gas with general similarity measure
B Hammer, M Strickert, T Villmann
Neural Processing Letters 21, 21-44, 2005
1952005
Merge SOM for temporal data
M Strickert, B Hammer
Neurocomputing 64, 39-71, 2005
1782005
On the approximation capability of recurrent neural networks
B Hammer
Neurocomputing 31 (1-4), 107-123, 2000
1772000
Prototype‐based models in machine learning
M Biehl, B Hammer, T Villmann
Wiley Interdisciplinary Reviews: Cognitive Science 7 (2), 92-111, 2016
1712016
Recursive self-organizing network models
B Hammer, A Micheli, A Sperduti, M Strickert
Neural Networks 17 (8-9), 1061-1085, 2004
1682004
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
1492012
A note on the universal approximation capability of support vector machines
B Hammer, K Gersmann
neural processing letters 17, 43-53, 2003
1472003
Distance learning in discriminative vector quantization
P Schneider, M Biehl, B Hammer
Neural computation 21 (10), 2942-2969, 2009
1452009
Dynamics and Generalization Ability of LVQ Algorithms.
M Biehl, A Ghosh, B Hammer
Journal of Machine Learning Research 8 (2), 2007
1422007
A general framework for dimensionality-reducing data visualization mapping
K Bunte, M Biehl, B Hammer
Neural Computation 24 (3), 771-804, 2012
1302012
A general framework for unsupervised processing of structured data
B Hammer, A Micheli, A Sperduti, M Strickert
Neurocomputing 57, 3-35, 2004
1302004
Perspectives of neural-symbolic integration
B Hammer, P Hitzler
Springer, 2007
1242007
The system can't perform the operation now. Try again later.
Articles 1–20