21 search results - page 1 / 5 » Divergence-based classification in learning vector quantizat... |
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...
NIPS
1992
13 years 6 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...
ESANN
2006
13 years 6 months ago
2006
We apply Learning Vector Quantization (LVQ) in automated boar semen quality assessment. The classification of single boar sperm heads into healthy (normal) and non-normal ones is b...
IJON
2011
12 years 11 months ago
2011
ICDM
2009
IEEE
13 years 12 months ago
2009
IEEE
— Learning Vector Quantization (LVQ) is a popular class of nearest prototype classifiers for multiclass classification. Learning algorithms from this family are widely used becau...