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NN
2006
Springer
128views Neural Networks» more  NN 2006»
15 years 6 months ago
Topographic map formation of factorized Edgeworth-expanded kernels
We introduce a new learning algorithm for topographic map formation of Edgeworth-expanded Gaussian activation kernels. In order to avoid the rapid increase in kernel parameters, a...
Marc M. Van Hulle
NN
2006
Springer
15 years 6 months ago
SOM's mathematics
- Since the discovery of the SOMs by T. Kohonen, many results have been found in order to get a better description of their behaviour. Most of them are very convincing but from a m...
Jean-Claude Fort
NN
2006
Springer
146views Neural Networks» more  NN 2006»
15 years 6 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...
NN
2006
Springer
105views Neural Networks» more  NN 2006»
15 years 6 months ago
Unfolding preprocessing for meaningful time series clustering
Clustering methods are commonly applied to time series, either as a preprocessing stage for other methods or in their own right. In this paper it is explained why time series clus...
Geoffroy Simon, John Aldo Lee, Michel Verleysen
NPL
2000
99views more  NPL 2000»
15 years 6 months ago
On the Internal Representations of Product Units
This paper explores internal representation power of product units [1] that act as the functional nodes in the hidden layer of a multi-layer feedforward network. Interesting proper...
Jung-Hua Wang, Yi-Wei Yu, Jia-Horng Tsai