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- W2391974485 abstract "Relevance vector machine is a sparse Bayesian learning algorithm,it has good ability of classification and generalization for the nonlinearity,multi-dimension,and small-sample problems.A car model identification based on RVM is studied.Experimental results show that RVM classifier achieves comparable recognition accuracy to the SVM classifier,yet provides a full predictive distribu-tion,and also requires substantially fewer kernel functions.Experimental results are efficient for classification." @default.
- W2391974485 created "2016-06-24" @default.
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- W2391974485 date "2008-01-01" @default.
- W2391974485 modified "2023-09-23" @default.
- W2391974485 title "Research on application of relevance vector machine in car model identification" @default.
- W2391974485 hasPublicationYear "2008" @default.
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