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Classification-by-Components: Probabilistic Modeling of ...NeurIPS 2024
proceedings.neurips.cc
von S Saralajew · · Zitiert von: 34 — Authors. Sascha Saralajew, Lars Holdijk, Maike Rees, Ebubekir Asan, Thomas Villmann. Abstract. Abstract Neural networks are state-of-the-art classification ... von S Saralajew · · Zitiert von: 34 — Authors. Sascha Saralajew, Lars Holdijk, Maike Rees, Ebubekir Asan, Thomas Villmann. Abstract. Abstract Neural networks are state-of-the-art classification ...
Magnification Control in Winner Relaxing Neural GasarXiv
arxiv.org
von JC Claussen · · Zitiert von: 17 — Authors:Jens Christian Claussen (University Kiel), Thomas Villmann (University Leipzig). Download a PDF of the paper titled Magnification ...
Classification of mass-spectrometric data in clinical ...Oxford University Press
academic.oup.com
von T Villmann · · Zitiert von: 56 — Classification of mass-spectrometric data in clinical proteomics using learning vector quantization methods. Thomas Villmann,.
Efficient classification learning of biochemical structured ...European Symposium on Artificial Neural Networks
www.esann.org
von KS Bohnsack · Zitiert von: 4 — Katrin Sophie Bohnsack, Marika Kaden, Julius Voigt and Thomas Villmann ∗. University of Applied Sciences Mittweida,.
Generalized relevance learning vector quantizationScienceDirect.com
www.sciencedirect.com
von B Hammer · · Zitiert von: 569 — Generalized relevance learning vector quantization. Author links open overlay panel. Barbara Hammer a , Thomas Villmann b. Show more. Add to Mendeley. Share. von B Hammer · · Zitiert von: 569 — Generalized relevance learning vector quantization. Author links open overlay panel. Barbara Hammer a , Thomas Villmann b. Show more. Add to Mendeley. Share.
Rejection Strategies for Learning Vector Quantization - PUBUniversität Bielefeld
pub.uni-bielefeld.de
von L Fischer · · Zitiert von: 18 — Thomas Villmann, Frank-Michael Schleif, Marika Kaden, and Mandy Lange, 295: Advances in Intelligent Systems and Com…ng. Cham: Springer ... von L Fischer · · Zitiert von: 18 — Thomas Villmann, Frank-Michael Schleif, Marika Kaden, and Mandy Lange, 295: Advances in Intelligent Systems and Com…ng. Cham: Springer ...
Median variants of learning vector quantization for ...ScienceDirect.com
www.sciencedirect.com
von D Nebel · · Zitiert von: 32 — Thomas Villmann holds a diploma degree in Mathematics, received his Ph.D. in Computer Science in and his habilitation as well as venia legendi in the same ... von D Nebel · · Zitiert von: 32 — Thomas Villmann holds a diploma degree in Mathematics, received his Ph.D. in Computer Science in and his habilitation as well as venia legendi in the same ...
Attention Based Classification Learning in GLVQ and ...Springer
link.springer.com
von M Kaden · · Zitiert von: 5 — Editors and Affiliations · Department of Mathematics, University of Applied Sciences Mittweida, Mittweida, Sachsen, Germany. Thomas Villmann · University of ... von M Kaden · · Zitiert von: 5 — Editors and Affiliations · Department of Mathematics, University of Applied Sciences Mittweida, Mittweida, Sachsen, Germany. Thomas Villmann · University of ...
Divergence Based Online Learning in Vector QuantizationSpringer
link.springer.com
von T Villmann · · Zitiert von: 8 — Thomas Villmann & Sven Haase. Institute of Computer Science, Clausthal University of Technology, Clausthal-Zellerfeld, Germany. Frank-Michael Schleif ... von T Villmann · · Zitiert von: 8 — Thomas Villmann & Sven Haase. Institute of Computer Science, Clausthal University of Technology, Clausthal-Zellerfeld, Germany. Frank-Michael Schleif ...
Sparse Functional Relevance Learning in Generalized ...springer.com
link.springer.com
von T Villmann · · Zitiert von: 2 — Sparse Functional Relevance Learning in Generalized Learning Vector Quantization. Thomas Villmann &; Marika Kästner. Conference paper Accesses.
Analysis and Visualization of Proteomic Data by Fuzzy ...Kooperativer Bibliotheksverbund Berlin-Brandenburg (KOBV)
opus4.kobv.de
von FM Schleif · · Zitiert von: 16 — Metadaten. Author: Frank-Michael Schleif, Thomas Elssner, Markus Kostrzewa, Thomas Villmann, Barbara Hammer. von FM Schleif · · Zitiert von: 16 — Metadaten. Author: Frank-Michael Schleif, Thomas Elssner, Markus Kostrzewa, Thomas Villmann, Barbara Hammer.
Com…tional aspects of inverse analyses for determining ...infona.pl
www.infona.pl
von V Slowik · · Zitiert von: 86 — Com…tional aspects of inverse analyses for determining softening curves of concrete. Volker Slowik, Beate Villmann, Nick Bretschneider, Thomas Villmann. von V Slowik · · Zitiert von: 86 — Com…tional aspects of inverse analyses for determining softening curves of concrete. Volker Slowik, Beate Villmann, Nick Bretschneider, Thomas Villmann.
Generalized Matrix Learning Vector Quantizer for ...Rijksuniversiteit Groningen
research.rug.nl
von P Schneider · · Zitiert von: 17 — Generalized Matrix Learning Vector Quantizer for the Analysis of Spectral Data. Petra Schneider, Frank-Michael Schleif, Thomas Villmann, Michael Biehl. von P Schneider · · Zitiert von: 17 — Generalized Matrix Learning Vector Quantizer for the Analysis of Spectral Data. Petra Schneider, Frank-Michael Schleif, Thomas Villmann, Michael Biehl.
Tanimoto Metric in Tree-SOM for Improved Representation ...KOBV
opus4.kobv.de
von S Simmuteit · · Zitiert von: 1 — Metadaten. Author: Stephan Simmuteit, Frank-Michael Schleif, Thomas Villmann, Thomas Elssner. DOI: https://doi.org ICMLA von S Simmuteit · · Zitiert von: 1 — Metadaten. Author: Stephan Simmuteit, Frank-Michael Schleif, Thomas Villmann, Thomas Elssner. DOI: https://doi.org ICMLA
The Mathematics of Divergence Based Online Learning in ...Rijksuniversiteit Groningen
research.rug.nl
von T Villmann · · Zitiert von: 16 — The Mathematics of Divergence Based Online Learning in Vector Quantization. Thomas Villmann, Sven Haase, Frank-Michael Schleif, Barbara Hammer, Michael Biehl. von T Villmann · · Zitiert von: 16 — The Mathematics of Divergence Based Online Learning in Vector Quantization. Thomas Villmann, Sven Haase, Frank-Michael Schleif, Barbara Hammer, Michael Biehl.
can learning vector quantization be an alternative to svm ...Sciendo
sciendo.com
von T Villmann · Zitiert von: 73 — Thomas Villmann, Andrea Bohnsack, and Marika Kaden. 1 Introduction ... Thomas Villmann holds a di- ploma degree in Mathematics, re- ceived his Ph.D ... von T Villmann · Zitiert von: 73 — Thomas Villmann, Andrea Bohnsack, and Marika Kaden. 1 Introduction ... Thomas Villmann holds a di- ploma degree in Mathematics, re- ceived his Ph.D ...
Integration of expert knowledge and interpretable modelsrug.nl
research.rug.nl
von G Bhanot · · Zitiert von: 15 — ... in translational research: Integration of expert knowledge and interpretable models. Gyan Bhanot, Michael Biehl, Thomas Villmann, Dietlind Zühlke.
Magnification Control in Self-Organizing Maps and Neural GasMassachusetts Institute of Technology
direct.mit.edu
von T Villmann · · Zitiert von: 98 — Magnification Control in Self-Organizing Maps and Neural Gas. In Special Collection: CogNet. Thomas Villmann,. Thomas Villmann.
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