Abstract. We focus on covariance criteria for finding a suitable subspace for regression in a reproducing kernel Hilbert space: kernel principal component analysis, kernel partial...
Luc Hoegaerts, Johan A. K. Suykens, Joos Vandewall...
Small recurrent neural network with two and three neurons are able to control autonomous robots showing obstacle avoidance and photo-tropic behaviors. They have been generated by e...
We propose a self organizing map (SOM) for sequences by extending standard SOM by two features, the recursive update of Sperduti [7] and the hyperbolic neighborhood of Ritter [5]. ...
The bootstrap resampling method may be efficiently used to estimate the generalization error of a family of nonlinear regression models, as artificial neural networks. The main dif...
Geoffroy Simon, Amaury Lendasse, Vincent Wertz, Mi...
We present a neural architecture of sentence representation. Words are represented with neural cell assemblies. Relations between words are represented with ‘structure’ assembl...