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- W2000590195 abstract "The support vector machine (SVM), first developed by Vapnik and his group at AT&T Bell Laboratories, is being used as a new technique for regression and classification problems. In this paper we present an approach to estimating prediction intervals for SVM regression based on posterior predictive densities. Furthermore, the method is illustrated with a data example." @default.
- W2000590195 created "2016-06-24" @default.
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- W2000590195 date "2002-01-12" @default.
- W2000590195 modified "2023-09-23" @default.
- W2000590195 title "PREDICTION INTERVALS FOR SUPPORT VECTOR MACHINE REGRESSION" @default.
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- W2000590195 doi "https://doi.org/10.1081/sta-120014918" @default.
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