Relevance Vector Machine( RVM) is a sparse model proposed on the basis of sparse Bayesian framework,it has been widely studied and applied in the field of machine learning in recent years because of its strong sparsity and generalization ability.However,like the traditional decision tree,neural network algorithm and support vector machine,RVM does not have the expense of sensitivity,can not be directly used for cost-sensitive learning. To deal with the cost sensitive problem brought by misclassification in ...
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