Add to ORKGKaestner M, Hammer B, Biehl M, Villmann T. Generalized Functional Relevance Learning Vector Quantization. In: Verleysen M, ed. European Symposium on Artificial Neural Networks. D side; 2011: pp. 93-98
Abstract. Generalized Relevance Learning Vector Quantization (GRLVQ) is combined with correlation-ba...
Hammer B, Strickert M, Villmann T. Learning Vector Quantization for Multimodal Data. In: Dorronsoro ...
Brinkrolf J, Hammer B. Federated Learning Vector Quantization. In: Verleysen M, ed. Proceedings of t...
Hammer B, Villmann T. Generalized Relevance Learning Vector Quantization. Neural Networks. 2002;15(8...
Kaestner M, Hammer B, Biehl M, Villmann T. Functional relevance learning in generalized learning vec...
Bojer T, Hammer B, Schunk D, Tluk von Toschanowitz K. Relevance determination in learning vector qua...
Schneider P, Biehl M, Hammer B. Adaptive relevance matrices in learning vector quantization. Neural ...
We propose a functional approach to relevance learning and matrix adaptation for learning vector qua...
Villmann T, Schleif F-M, Hammer B. Supervised Neural Gas and Relevance Learning in Learning Vector Q...
Villmann T, Schleif F-M, Hammer B. Comparison of relevance learning vector quantization with other m...
Hammer B, Villmann T, Schleif F-M, Albani C, Hermann W. Learning vector quantization classification ...
Schleif F-M, Villmann T. Neural Maps and Learning Vector Quantization - Theory and Applications. In:...
Biehl M, Hammer B, Schleif F-M, Schneider P, Villmann T. Stationarity of Matrix Relevance Learning V...
Villmann T, Hammer B. Metric adaptation and relevance learning in learning vector quantization. Osna...
We propose a new matrix learning scheme to extend Generalized Relevance Learning Vector Quantization...
Abstract. Generalized Relevance Learning Vector Quantization (GRLVQ) is combined with correlation-ba...
Hammer B, Strickert M, Villmann T. Learning Vector Quantization for Multimodal Data. In: Dorronsoro ...
Brinkrolf J, Hammer B. Federated Learning Vector Quantization. In: Verleysen M, ed. Proceedings of t...
Hammer B, Villmann T. Generalized Relevance Learning Vector Quantization. Neural Networks. 2002;15(8...
Kaestner M, Hammer B, Biehl M, Villmann T. Functional relevance learning in generalized learning vec...
Bojer T, Hammer B, Schunk D, Tluk von Toschanowitz K. Relevance determination in learning vector qua...
Schneider P, Biehl M, Hammer B. Adaptive relevance matrices in learning vector quantization. Neural ...
We propose a functional approach to relevance learning and matrix adaptation for learning vector qua...
Villmann T, Schleif F-M, Hammer B. Supervised Neural Gas and Relevance Learning in Learning Vector Q...
Villmann T, Schleif F-M, Hammer B. Comparison of relevance learning vector quantization with other m...
Hammer B, Villmann T, Schleif F-M, Albani C, Hermann W. Learning vector quantization classification ...
Schleif F-M, Villmann T. Neural Maps and Learning Vector Quantization - Theory and Applications. In:...
Biehl M, Hammer B, Schleif F-M, Schneider P, Villmann T. Stationarity of Matrix Relevance Learning V...
Villmann T, Hammer B. Metric adaptation and relevance learning in learning vector quantization. Osna...
We propose a new matrix learning scheme to extend Generalized Relevance Learning Vector Quantization...
Abstract. Generalized Relevance Learning Vector Quantization (GRLVQ) is combined with correlation-ba...
Hammer B, Strickert M, Villmann T. Learning Vector Quantization for Multimodal Data. In: Dorronsoro ...
Brinkrolf J, Hammer B. Federated Learning Vector Quantization. In: Verleysen M, ed. Proceedings of t...