Multi-Output Bayesian Support Vector Regression Considering Dependent Outputs

Multi-output regression aims to utilize the correlation between outputs to achieve information transfer between dependent outputs, thus improving the accuracy of predictive models. Although the Bayesian support vector machine (BSVR) can provide both the mean and the predicted variance distribution o...

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Váldodahkkit:	Yanlin Wang, Zhijun Cheng, Zichen Wang
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	MDPI AG 2024-09-01
Ráidu:	Mathematics
Fáttát:	multiple dependent outputs support vector regression Bayesian inference semiparametric latent factor model multi-output Bayesian support vector regression (MBSVR)
Liŋkkat:	https://www.mdpi.com/2227-7390/12/18/2923
Fáddágilkorat:	Lasit fáddágilkoriid Eai fáddágilkorat, Lasit vuosttaš fáddágilkora!

Multi-Output Bayesian Support Vector Regression Considering Dependent Outputs

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