Add to ORKGNebel D, Hammer B, Villmann T. A Median Variant of Generalized Learning Vector Quantization. In: ICONIP (2). 2013: 19-26
We derive a novel derivative based version of kernelized Generalized Learning Vector Quantization (K...
We propose a new matrix learning scheme to extend Generalized Relevance Learning Vector Quantization...
Schleif F-M, Villmann T, Hammer B, Schneider P, Biehl M. Generalized derivative based Kernelized lea...
Paaßen B. Median Generalized Learning Vector Quantization for Distance Data. Bielefeld University; 2...
Hammer B, Villmann T. Generalized Relevance Learning Vector Quantization. Neural Networks. 2002;15(8...
In Machine Learning, Learning Vector Quantization(LVQ) is well known as supervised learning method. ...
Schneider P, Schleif F-M, Villmann T, Biehl M. Generalized Matrix Learning Vector Quantizer for the ...
Biehl M, Ghosh A, Hammer B. Learning vector quantization: The dynamics of winner-takes-all algorithm...
Kaestner M, Hammer B, Biehl M, Villmann T. Generalized Functional Relevance Learning Vector Quantiza...
In this correspondence, we propose a novel class of learning vector quantizers (LVQ's) based on mult...
Biehl M, Gosh A, Hammer B. The dynamics of Learning Vector Quantization. In: Verleysen M, ed. ESANN'...
We consider in this article median variants of the learning vector quantization classi-fier for clas...
We propose a new learning method, "Generalized Learning Vec-tor Quantization (GLVQ), " in ...
Hammer B, Strickert M, Villmann T. Learning Vector Quantization for Multimodal Data. In: Dorronsoro ...
Winner-Takes-All (WTA) prescriptions for learning vector quantization (LVQ) are studied in the frame...
We derive a novel derivative based version of kernelized Generalized Learning Vector Quantization (K...
We propose a new matrix learning scheme to extend Generalized Relevance Learning Vector Quantization...
Schleif F-M, Villmann T, Hammer B, Schneider P, Biehl M. Generalized derivative based Kernelized lea...
Paaßen B. Median Generalized Learning Vector Quantization for Distance Data. Bielefeld University; 2...
Hammer B, Villmann T. Generalized Relevance Learning Vector Quantization. Neural Networks. 2002;15(8...
In Machine Learning, Learning Vector Quantization(LVQ) is well known as supervised learning method. ...
Schneider P, Schleif F-M, Villmann T, Biehl M. Generalized Matrix Learning Vector Quantizer for the ...
Biehl M, Ghosh A, Hammer B. Learning vector quantization: The dynamics of winner-takes-all algorithm...
Kaestner M, Hammer B, Biehl M, Villmann T. Generalized Functional Relevance Learning Vector Quantiza...
In this correspondence, we propose a novel class of learning vector quantizers (LVQ's) based on mult...
Biehl M, Gosh A, Hammer B. The dynamics of Learning Vector Quantization. In: Verleysen M, ed. ESANN'...
We consider in this article median variants of the learning vector quantization classi-fier for clas...
We propose a new learning method, "Generalized Learning Vec-tor Quantization (GLVQ), " in ...
Hammer B, Strickert M, Villmann T. Learning Vector Quantization for Multimodal Data. In: Dorronsoro ...
Winner-Takes-All (WTA) prescriptions for learning vector quantization (LVQ) are studied in the frame...
We derive a novel derivative based version of kernelized Generalized Learning Vector Quantization (K...
We propose a new matrix learning scheme to extend Generalized Relevance Learning Vector Quantization...
Schleif F-M, Villmann T, Hammer B, Schneider P, Biehl M. Generalized derivative based Kernelized lea...