Titlebook: Artificial Neural Networks - ICANN 2001; International Confer Georg Dorffner,Horst Bischof,Kurt Hornik Conference proceedings 2001 Springer

ARK

Bagging Can Stabilize without Reducing Variance accepted. This paper provides experimental evidence supporting another explanation, based on the stabilization provided by spreading the influence of examples. With this viewpoint, bagging is interpreted as a case-weight perturbation technique, and its behavior can be explained when other arguments fail.

唠叨

Learning to Learn Using Gradient Descentn large systems feasible by using recurrent neural networks with their attendant learning routines as meta-learning systems. Our system derived complex well performing learning algorithms from scratch. In this paper we also show that our approach performs non-stationary time series prediction.

货物

眼界

arboretum

Bruno Crosignani,Benedetto Dainotive function. In this paper, radial basis function networks (RBFN) are employed in predicting the form of objective function, and genetic algorithms (GA) in searching the optimal value of the predicted objective function. The effectiveness of the suggested method will be shown through some numerical examples.

bacteria

Exotic Uses of Guided Wave Optics,rete variable. We apply the method to a time series data set, i.e. yeast gene expressions measured with DNA chips, with biological knowledge about the functions of the genes encoded into the discrete variable.

indigenous

寒冷

Kidnap

神圣在玷污