146 search results - page 7 / 30 » Learning with Neural Networks in the Domain of Graphs |
ICANN
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. Recurrent neural networks (RNNs) have proved effective at one dimensional sequence learning tasks, such as speech and online handwriting recognition. Some of the properti...
ESANN
2007
14 years 11 months ago
2007
A recently proposed nonlinear extension of Granger causality is used to map the dynamics of a neural population onto a graph, whose community structure characterizes the collective...
TNN
1998
14 years 9 months ago
1998
— In this paper, we perform a complete asymptotic performance analysis of the stochastic approximation algorithm (denoted subspace network learning algorithm) derived from Oja’...
IJCNN
2007
IEEE
15 years 3 months ago
2007
IEEE
— The assessment of highly-risky situations at road intersections have been recently revealed as an important research topic within the context of the automotive industry. In thi...
TNN
1998
14 years 9 months ago
1998
— This paper proposes two hierarchical schemes for learning, one for clustering and the other for classification problems. Both schemes can be implemented on a fuzzy lattice neu...