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NPL
2000
91views more  NPL 2000»
13 years 4 months ago
A Novel Self-Creating Neural Network for Learning Vector Quantization
This paper presents a novel self-creating neural network scheme which employs two resource counters to record network learning activity. The proposed scheme not only achieves the b...
Jung-Hua Wang, Chung-Yun Peng
NN
2006
Springer
146views Neural Networks» more  NN 2006»
13 years 4 months ago
Comparison of relevance learning vector quantization with other metric adaptive classification methods
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...
Thomas Villmann, Frank-Michael Schleif, Barbara Ha...
WCE
2007
13 years 6 months ago
A Novel Vector Quantization Approach to Arabic Character Recognition
— In this paper, a novel approach to Arabic letter recognition is proposed. The system is based on the classified vector quantization (CVQ) technique employing the minimum distan...
Ahmad M. Sarhan, Omar I. Al Helalat
NIPS
1996
13 years 6 months ago
Monotonicity Hints
: Neural networks are competitive tools for classification problems. In this context, a hint is any piece of prior side information about the classification. Common examples are mo...
Joseph Sill, Yaser S. Abu-Mostafa
NN
2006
Springer
108views Neural Networks» more  NN 2006»
13 years 4 months ago
Performance analysis of LVQ algorithms: A statistical physics approach
Learning vector quantization (LVQ) constitutes a powerful and intuitive method for adaptive nearest prototype classification. However, original LVQ has been introduced based on he...
Anarta Ghosh, Michael Biehl, Barbara Hammer