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NN
2006
Springer
15 years 2 months ago
Homeostatic synaptic scaling in self-organizing maps
Various forms of the self-organizing map (SOM) have been proposed as models of cortical development [Choe Y., Miikkulainen R., (2004). Contour integration and segmentation with se...
Thomas J. Sullivan, Virginia R. de Sa
103
Voted
NN
2006
Springer
108views Neural Networks» more  NN 2006»
15 years 2 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
NPL
2000
88views more  NPL 2000»
15 years 2 months ago
Learning Synaptic Clusters for Nonlinear Dendritic Processing
Nonlinear dendritic processing appears to be a feature of biological neurons and would also be of use in many applications of artificial neural networks. This paper presents a mod...
Michael W. Spratling, Gillian Hayes
110
Voted
NC
2010
150views Neural Networks» more  NC 2010»
15 years 23 days ago
Deterministic and stochastic P systems for modelling cellular processes
This paper presents two approaches based on metabolic and stochastic P systems, together with their associated analysis methods, for modelling biological systems and illustrates th...
Marian Gheorghe, Vincenzo Manca, Francisco Jos&eac...
ICANN
2011
Springer
14 years 5 months ago
Learning Curves for Gaussian Processes via Numerical Cubature Integration
This paper is concerned with estimation of learning curves for Gaussian process regression with multidimensional numerical integration. We propose an approach where the recursion e...
Simo Särkkä