84 search results - page 3 / 17 » Generalized relevance learning vector quantization |
ESANN
2008
13 years 7 months ago
2008
The analysis of spectral data constitutes new challenges for machine learning algorithms due to the functional nature of the data. Special attention is paid to the metric used in t...
DAGSTUHL
2007
13 years 7 months ago
2007
ESANN
2006
13 years 7 months ago
2006
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
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...
ICML
2004
IEEE
14 years 6 months ago
2004
IEEE
Traditional non-parametric statistical learning techniques are often computationally attractive, but lack the same generalization and model selection abilities as state-of-the-art...