Adaptive relevance matrices in learning vector quantization
- Schneider, P.
- Biehl, M.
- Hammer, Barbara
DOIAbstract
Schneider P, Biehl M, Hammer B. Adaptive relevance matrices in learning vector quantization. Neural Computation. 2009;21(12):3532-3561
Schneider P, Biehl M, Hammer B. Adaptive relevance matrices in learning vector quantization. Neural Computation. 2009;21(12):3532-3561
We propose a functional approach to relevance learning and matrix adaptation for learning vector qua...
The paper deals with the concept of relevance learning in learning vector quantization
Schneider P, Biehl M, Hammer B. Relevance matrices in LVQ. In: Verleysen M, ed. Proc. Of European Sy...
Biehl M, Hammer B, Schleif F-M, Schneider P, Villmann T. Stationarity of Matrix Relevance Learning V...
Hammer B, Villmann T. Generalized Relevance Learning Vector Quantization. Neural Networks. 2002;15(8...
We propose a new matrix learning scheme to extend relevance learning vector quantization (RLVQ), an ...
Bojer T, Hammer B, Schunk D, Tluk von Toschanowitz K. Relevance determination in learning vector qua...
Villmann T, Schleif F-M, Hammer B. Comparison of relevance learning vector quantization with other m...
Villmann T, Hammer B. Metric adaptation and relevance learning in learning vector quantization. Osna...
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...
Schneider P, Bunte K, Stiekema H, Hammer B, Villmann T, Biehl M. Regularization in Matrix Relevance ...
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 Generalized Relevance Learning Vector Quantization...
We propose a functional approach to relevance learning and matrix adaptation for learning vector qua...
The paper deals with the concept of relevance learning in learning vector quantization
Schneider P, Biehl M, Hammer B. Relevance matrices in LVQ. In: Verleysen M, ed. Proc. Of European Sy...
Biehl M, Hammer B, Schleif F-M, Schneider P, Villmann T. Stationarity of Matrix Relevance Learning V...
Hammer B, Villmann T. Generalized Relevance Learning Vector Quantization. Neural Networks. 2002;15(8...
We propose a new matrix learning scheme to extend relevance learning vector quantization (RLVQ), an ...
Bojer T, Hammer B, Schunk D, Tluk von Toschanowitz K. Relevance determination in learning vector qua...
Villmann T, Schleif F-M, Hammer B. Comparison of relevance learning vector quantization with other m...
Villmann T, Hammer B. Metric adaptation and relevance learning in learning vector quantization. Osna...
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...
Schneider P, Bunte K, Stiekema H, Hammer B, Villmann T, Biehl M. Regularization in Matrix Relevance ...
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 Generalized Relevance Learning Vector Quantization...
We propose a functional approach to relevance learning and matrix adaptation for learning vector qua...
The paper deals with the concept of relevance learning in learning vector quantization
Schneider P, Biehl M, Hammer B. Relevance matrices in LVQ. In: Verleysen M, ed. Proc. Of European Sy...
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