Hammer B, Villmann T, Schleif F-M, Albani C, Hermann W. Learning vector quantization classification with local relevance determination for medical data. In: Rutkowski L, Tadeusiewicz R, Zadeh LA, Zurada J, eds. Artificial Intelligence and Soft-Computing - Proceedings of ICAISC 2006. LNAI, 4029. Lecture notes in computer science ; 4029 : Lecture notes in artificial intelligence. Vol 4029. Berlin, Heidelberg: Springer; 2006: 603-612
Villmann T, Hammer B. Metric adaptation and relevance learning in learning vector quantization. Osna...
Biehl M, Hammer B, Schleif F-M, Schneider P, Villmann T. Stationarity of Matrix Relevance Learning V...
We propose a new matrix learning scheme to extend Generalized Relevance Learning Vector Quantization...
Bojer T, Hammer B, Schunk D, Tluk von Toschanowitz K. Relevance determination in learning vector qua...
The extension of Learning Vector Quantization by Matrix Relevance Learning is presented and discusse...
The extension of Learning Vector Quantization by Matrix Relevance Learning is presented and discusse...
We propose a new matrix learning scheme to extend relevance learning vector quantization (RLVQ), an ...
Schneider P, Biehl M, Hammer B. Adaptive relevance matrices in learning vector quantization. Neural ...
Kaestner M, Hammer B, Biehl M, Villmann T. Generalized Functional Relevance Learning Vector Quantiza...
Villmann T, Schleif F-M, Hammer B. Supervised Neural Gas and Relevance Learning in Learning Vector Q...
Fischer L, Hammer B, Wersing H. Local Rejection Strategies for Learning Vector Quantization. In: Wer...
Villmann T, Schleif F-M, Hammer B. Comparison of relevance learning vector quantization with other m...
The paper deals with the concept of relevance learning in learning vector quantization
Hammer B, Villmann T. Generalized Relevance Learning Vector Quantization. Neural Networks. 2002;15(8...
Hammer B, Strickert M, Villmann T. Learning Vector Quantization for Multimodal Data. In: Dorronsoro ...
Villmann T, Hammer B. Metric adaptation and relevance learning in learning vector quantization. Osna...
Biehl M, Hammer B, Schleif F-M, Schneider P, Villmann T. Stationarity of Matrix Relevance Learning V...
We propose a new matrix learning scheme to extend Generalized Relevance Learning Vector Quantization...
Bojer T, Hammer B, Schunk D, Tluk von Toschanowitz K. Relevance determination in learning vector qua...
The extension of Learning Vector Quantization by Matrix Relevance Learning is presented and discusse...
The extension of Learning Vector Quantization by Matrix Relevance Learning is presented and discusse...
We propose a new matrix learning scheme to extend relevance learning vector quantization (RLVQ), an ...
Schneider P, Biehl M, Hammer B. Adaptive relevance matrices in learning vector quantization. Neural ...
Kaestner M, Hammer B, Biehl M, Villmann T. Generalized Functional Relevance Learning Vector Quantiza...
Villmann T, Schleif F-M, Hammer B. Supervised Neural Gas and Relevance Learning in Learning Vector Q...
Fischer L, Hammer B, Wersing H. Local Rejection Strategies for Learning Vector Quantization. In: Wer...
Villmann T, Schleif F-M, Hammer B. Comparison of relevance learning vector quantization with other m...
The paper deals with the concept of relevance learning in learning vector quantization
Hammer B, Villmann T. Generalized Relevance Learning Vector Quantization. Neural Networks. 2002;15(8...
Hammer B, Strickert M, Villmann T. Learning Vector Quantization for Multimodal Data. In: Dorronsoro ...
Villmann T, Hammer B. Metric adaptation and relevance learning in learning vector quantization. Osna...
Biehl M, Hammer B, Schleif F-M, Schneider P, Villmann T. Stationarity of Matrix Relevance Learning V...
We propose a new matrix learning scheme to extend Generalized Relevance Learning Vector Quantization...