272 search results - page 2 / 55 » Regression Learning Vector Quantization |
NN
2006
Springer
13 years 6 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
14 years 1 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 6 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...
NIPS
1992
13 years 8 months ago
1992
Vector Quantization is useful for data compression. Competitive Learning which minimizes reconstruction error is an appropriate algorithm for vector quantization of unlabelled dat...
ICML
2005
IEEE
14 years 7 months ago
2005
IEEE
In this paper, we extend the recently proposed Core Vector Machine algorithm to the regression setting by generalizing the underlying minimum enclosing ball problem. The resultant...