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Soft Competitive Learning for Large Data Sets
(2012)
Schleif, Frank-Michael
;
Zhu, Xibin
;
Hammer, Barbara
Relevance learning for short high-dimensional time series in the life sciences
(2012)
Schleif, Frank-Michael
;
Gisbrecht, Andrej
;
Hammer, Barbara
Efficient Kernelized Prototype Based Classification
(2011)
Schleif, Frank-Michael
;
Villmann, Thomas
;
Hammer, Barbara
;
Schneider, Petra
Cancer informatics by prototype networks in mass spectrometry
(2009)
Schleif, Frank-Michael
;
Villmann, Thomas
;
Kostrzewa, Markus
;
Hammer, Barbara
;
Gammerman, Alexander
Evolving trees for the retrieval of mass spectrometry-based bacteria fingerprints
(2010)
Simmuteit, Stephan
;
Schleif, Frank-Michael
;
Villmann, Thomas
;
Hammer, Barbara
Classification of mass-spectrometric data in clinical proteomics using learning vector quantization methods
(2008)
Villmann, Thomas
;
Schleif, Frank-Michael
;
Kostrzewa, Markus
;
Walch, Axel
;
Hammer, Barbara
Prototype based fuzzy classification in clinical proteomics
(2008)
Schleif, Frank-Michael
;
Villmann, Thomas
;
Hammer, Barbara
Prototype Based Classification in Bioinformatics
(2009)
Schleif, Frank-Michael
;
Villmann, Thomas
;
Hammer, Barbara
Comparison of Cluster Algorithms for the Analysis of Text Data Using Kolmogorov Complexity
(2008)
Geweniger, Tina
;
Schleif, Frank-Michael
;
Hasenfuss, Alexander
;
Hammer, Barbara
;
Villmann, Thomas
Analysis of Spectral Data in Clinical Proteomics by Use of Learning Vector Quantizers
(2008)
Schleif, Frank-Michael
;
Villmann, Thomas
;
Hammer, Barbara
;
van der Werff, Martijn
;
Deelder, André M.
;
Tollenaar, Rob A. E. M.
Fuzzy classification using information theoretic learning vector quantization
(2008)
Villmann, Thomas
;
Hammer, Barbara
;
Schleif, Frank-Michael
;
Hermann, Wieland
;
Cottrell, Marie
Analysis and Visualization of Proteomic Data by Fuzzy Labeled Self-Organizing Maps
(2006)
Schleif, Frank-Michael
;
Elssner, Thomas
;
Kostrzewa, Markus
;
Villmann, Thomas
;
Hammer, Barbara
Comparison of relevance learning vector quantization with other metric adaptive classification methods
(2006)
Villmann, Thomas
;
Schleif, Frank-Michael
;
Hammer, Barbara
Fuzzy classification by fuzzy labeled neural gas
(2006)
Villmann, Thomas
;
Hammer, Barbara
;
Schleif, Frank-Michael
;
Geweniger, Tina
;
Hermann, Wieland
Prototype-based fuzzy classification with local relevance for proteomics
(2006)
Villmann, Thomas
;
Schleif, Frank-Michael
;
Hammer, Barbara
Margin-based active learning for LVQ networks
(2007)
Schleif, Frank-Michael
;
Hammer, Barbara
;
Villmann, Thomas
Learning Vector Quantization Classification with Local Relevance Determination for Medical Data
(2006)
Hammer, Barbara
;
Villmann, Thomas
;
Schleif, Frank-Michael
;
Albani, Cornelia
;
Hermann, Wieland
Local Metric Adaptation for Soft Nearest Prototype Classification to Classify Proteomic Data
(2005)
Schleif, Frank-Michael
;
Villmann, Thomas
;
Hammer, Barbara
41
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58
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