117 search results - page 2 / 24 » A Note on Learning Vector Quantization |
ALT
1999
Springer
13 years 9 months ago
1999
Springer
PR
2006
13 years 5 months ago
2006
In this paper, we discuss the influence of feature vectors contributions at each learning time t on a sequential-type competitive learning algorithm. We then give a learning rate ...
NN
2006
Springer
13 years 5 months ago
2006
Springer
The paper deals with the concept of relevance learning in learning vector quantization and classification. Recent machine learning approaches with the ability of metric adaptation...
IDEAL
2007
Springer
13 years 11 months ago
2007
Springer
We apply learning vector quantization to the analysis of tiling microarray data. As an example we consider the classification of C. elegans genomic probes as intronic or exonic. T...
IJON
2006
13 years 5 months ago
2006
Winner-Takes-All (WTA) prescriptions for Learning Vector Quantization (LVQ) are studied in the framework of a model situation: Two competing prototype vectors are updated accordin...