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In this paper, a novel approach for neural network ensemble called Simple Ensemble of Extreme Learning Machine (SE-ELM) is proposed. It is proved theoretically in this study that the generalization ability of an ensemble is determined by the diversity of its components' output space. Therefore SE-ELM regards the diversity of components' output space as a target during the training process. In the...
With the increase of the training set??s size, the efficiency of support vector machine (SVM) classifier will be confined. To solve such a problem, a novel pre-extracting method for SVM classification is proposed in this paper. In SVM classification, only support vectors (SVs) have significant influence on the optimization result. We adopt a non-parametric k-NN rule called relative neighborhood graph...
GPS has been broadly applied in every fields of our social life, since the environment around us has been becoming more and more complicated, satellite navigation positioning technology under severe geometry, weather and jamming conditions gains more and more attention. However, It is well known that the GPS satellite navigation system lacks vertical information, which results in poor vertical accuracy...
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