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This paper presents a relevance vector learning mechanism for time series regression analysis. The relevance vector machine (RVM) has a probabilistic Bayesian learning framework and has good generalization capability. The RVM consists of the sum of product of weight and kernel function which projects input space into high dimensional feature space. Although having the same function form as support...
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