Computer Science ›› 2017, Vol. 44 ›› Issue (3): 242-246.doi: 10.11896/j.issn.1002-137X.2017.03.050

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Multi-class Probability Output Based on Relevance Vector Machine

LI Rui and WANG Xiao-dan   

  • Online:2018-11-13 Published:2018-11-13

Abstract: Based on the probability of memberships estimated by RVM (Relevance Vector Machine) basic model,posterior probability estimating approaches in one-versus-all strategy by multivariate sigmoid function and one-versus-one strategy by pairwise coupling were presented.Experimental results based on artificial gauss datasets and UCI datasets show the proposed approaches can calculate posterior probability precisely and are more efficient,as well can ensure high classification performance.

Key words: RVM,Multi-class probability,Pairwise coupling

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