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IJON
2006
89views more  IJON 2006»
13 years 10 months ago
Flexible kernels for RBF networks
In this paper we propose a novel approach for modeling kernels in Radial Basis Function networks. The method provides an extra degree of flexibility to the kernel structure. This ...
André O. Falcão, Thibault Langlois, ...
IJON
2006
111views more  IJON 2006»
13 years 10 months ago
Applications of multi-objective structure optimization
We present an application of multi-objective evolutionary optimization of feed-forward neural networks (NN) to two real world problems, car and face classification. The possibly co...
Alexander Gepperth, Stefan Roth
IJON
2006
76views more  IJON 2006»
13 years 10 months ago
Joint maps for orientation, eye, and direction preference in a self-organizing model of V1
Primary visual cortex (V1) contains overlaid feature maps for orientation (OR), motion direction selectivity (DR), and ocular dominance (OD). Neurons in these maps are connected l...
James A. Bednar, Risto Miikkulainen
IJON
2006
104views more  IJON 2006»
13 years 10 months ago
Kernel methods and the exponential family
The success of Support Vector Machine (SVM) gave rise to the development of a new class of theoretically elegant learning machines which use a central concept of kernels and the a...
Stéphane Canu, Alexander J. Smola
IJON
2006
54views more  IJON 2006»
13 years 10 months ago
Self-organization of hierarchical visual maps with feedback connections
Visual areas in primates are known to have reciprocal connections. While the feedforward bottom-up processing of visual information has been studied extensively for decades, littl...
Yiu-Fai Sit, Risto Miikkulainen