RecLVQ: Recurrent Learning Vector Quantization

von Ravichandran, J.
Veröffentlicht in ESANN (29. : 2021 : Online) 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (2021)

Efficient classification learning of biochemical structured data by means of relevance weighting for sensoric response features

von Bohnsack, K. S.
Veröffentlicht in European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (30. : 2022 : Brügge; Online) 30th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (2022)

Quantum-Inspired Learning Vector Quantization for Classification Learning

von Villmann, T.
Veröffentlicht in ESANN (28. : 2020 : Online) 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (2020)

The LVQ-based Counter Propagation Network - an Interpretable Information Bottleneck Approach

von Kaden, M.
Veröffentlicht in ESANN (29. : 2021 : Online) 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (2021)