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Feature selection for spectral data can be highly beneficial both to improve the predictive ability of the model and to greatly enhance its interpretation. This paper presents an efficient approach based on regularized orthogonal forward selection. The selection procedure is a direct optimization of model generalization capability by sequentially minimizing the leave-one-out (LOO) test error. Moreover,...
In order to improve the training efficiency to the data set, an improved adaptive Support Vector Machine (SVM) algorithm with combinational Fuzzy C-means Clustering is proposed. With multi-layer fuzzy C-means clustering algorithm original data are pretreated to remove the training data, which has no contribution to the classification. The remaining data are used to complete the training work for SVM...
A cost-effective approach for enhancing availability of clustered system is to cache popular data across the memories of servers so as to alleviate disk I/O bandwidth bottleneck. The cache placement problem is complicated for the fact that video popularity changes over time. Moreover, as a new multimedia streaming service, time-shifted TV introduces new challenges to the problem. In this article,...
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