1,721,200 research outputs found
Some Theoretical Aspects of the Neural Gas Vector Quantizer
No full textVillmann T, Hammer B, Biehl M. Some theoretical aspects of the neural gas vector quantizer. In: Biehl M, Hammer B, Verleysen M, Villmann T, eds. Similarity Based Clustering. Lecture Notes Artificial Intelligence, 5400. Berlin, Heidelberg: Springer; 2009: 23-34
Metric adaptation and relevance learning in learning vector quantization
No full textVillmann T, Hammer B. Metric adaptation and relevance learning in learning vector quantization. Osnabrücker Schriften zur Mathematik. Osnabrück: Universität Osnabrück; 2003
Neural Maps and Learning Vector Quantization - Theory and Applications
No full textSchleif F-M, Villmann T. Neural Maps and Learning Vector Quantization - Theory and Applications. In: Proceedings of the ESANN 2009. European Symposium on Artificial Neural Networks. Advances in Computational Intelligence and Learning. Evere, Belgium: d-side publications; 2009: 509-516
Batch NG
No full textCottrell M, Hammer B, Hasenfuss A, Villmann T. Batch NG. In: Proceedings of WSOM 2005. 2005: 275-282
Supervised neural gas with general similarity measure
No full textHammer B, Strickert M, Villmann T. Supervised neural gas with general similarity measure. Neural Processing Letters. 2005;21(1):21-44
On the generalization ability of GRLVQ
No full textHammer B, Strickert M, Villmann T. On the generalization ability of GRLVQ. Osnabrücker Schriften zur Mathematik. Osnabrück: Universität Osnabrück; 2003
On the generalization ability of GRLVQ networks
No full textHammer B, Strickert M, Villmann T. On the generalization ability of GRLVQ networks. Neural Processing Letters. 2005;21(2):109-120
Classification using non standard metrics
No full textHammer B, Villmann T. Classification using non standard metrics. In: Verleysen M, ed. ESANN'05. Brussels: d-side publishing; 2005: 303-316
Hierarchical deconvolution of linear mixtures of high-dimensional mass spectra in micro-biology
No full textSchleif F-M, Simmuteit S, Villmann T. Hierarchical deconvolution of linear mixtures of high-dimensional mass spectra in micro-biology. In: Proceedings of AIA 2011. 2011: in press
Supervised data analysis and reliability estimation for spectral data
No full textSchleif F-M, Villmann T, Ongyerth M. Supervised data analysis and reliability estimation for spectral data. NeuroComputing. 2009;72(16-18):3590-3601
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