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Attribute reducts can discover previously unknown, non-trivial and useful abstractions from the data in large databases. However, many methods for finding attribute reducts from large data sets always meet a difficult problem of combination explosion. To overcome the problem and find some attribute reducts with high efficiency, the algorithm CARHS was proposed. The basic idea of CARHS is: 1) transform...
Incorporating constraints into the kernel-based regression is an effective means to improve regression performance. Nevertheless, in many applications, the constraints are continuous with respect to some parameters so that computational difficulties arise. Discretizing the constraints is a reasonable solution for these difficulties. However, in the context of kernel-based regression, most of existing...
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