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» A Note on Learning Vector Quantization
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IJON
2006
95views more  IJON 2006»
14 years 9 months ago
Generalized relevance LVQ (GRLVQ) with correlation measures for gene expression analysis
A correlation-based similarity measure is derived for generalized relevance learning vector quantization (GRLVQ). The resulting GRLVQ-C classifier makes Pearson correlation availa...
Marc Strickert, Udo Seiffert, Nese Sreenivasulu, W...
IJON
2010
152views more  IJON 2010»
14 years 8 months ago
Adaptive local dissimilarity measures for discriminative dimension reduction of labeled data
Due to the tremendous increase of electronic information with respect to the size of data sets as well as their dimension, dimension reduction and visualization of high-dimensiona...
Kerstin Bunte, Barbara Hammer, Axel Wismüller...
TNN
1998
112views more  TNN 1998»
14 years 9 months ago
A class of competitive learning models which avoids neuron underutilization problem
— In this paper, we study a qualitative property of a class of competitive learning (CL) models, which is called the multiplicatively biased competitive learning (MBCL) model, na...
Clifford Sze-Tsan Choy, Wan-Chi Siu
68
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DAGSTUHL
2007
14 years 11 months ago
Note on parallel universes
The parallel universes idea is an attempt to integrate several aspects of learning which share some common aspects. This is an interesting idea: if successful, insights could cross...
Niall M. Adams, David J. Hand
97
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DAGSTUHL
2007
14 years 11 months ago
Relevance Matrices in LVQ
Abstract. We propose a new matrix learning scheme to extend Generalized Relevance Learning Vector Quantization (GRLVQ). By introducing a full matrix of relevance factors in the dis...
Petra Schneider