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ELM, as an efficient classification technology, has been used in many popular application domains. However, ELM has weak generalization performance when the data set is small with respect to its feature space. In this paper, an enhanced ELM algorithm based on representative features is proposed to address the problem. At first, the method automatically generates some discrete intervals for every continuous...
In this paper, we focus on the problem of extreme learning machine (ELM)-based microarray data classification. Different from the traditional classification problem, the goal in this case is not just to predict the class labels for the unseen samples, but to make clear what lead to the results, i.e., the genes involving with a specific disease. This is especially significant for biologists, since...
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