Longlei Dong

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Model selection plays a key role in the application of support vector machine (SVM). In this paper, a method of model selection based on the small-world strategy is proposed for least squares support vector regression (LS-SVR). In this method, the model selection is treated as a single-objective global optimization problem in which generalization(More)
In practical engineering, small-scale data sets are usually sparse and contaminated by noise. It is difficult to guarantee a competitive generalization performance of regression model from such a data set. However, what is worth mentioning is that there are often a lot of incomplete relationships between attributes in practical engineering. The involvement(More)
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