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The random-hidden-node extreme learning machine (ELM) is a much more generalized cluster of single-hidden-layer feed-forward neural networks (SLFNs) which has three parts: random projection, non-linear transformation, and ridge regression (RR) model. Networks with deep architectures have demonstrated state-of-the-art performance in a variety of settings, especially with computer vision tasks. Deep...
In classification tasks, class imbalance problem has been reported to hinder the performance of some standard classifiers, such as nearest neighbors algorithm. This paper presents an improvement to kernel partial least squares classifier (KPLSC) is proposed to deal with the class imbalance problem. This improvement is applicable to all cases no matter whether the data sets are linearly separable or...
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