Abstract
Investigators publish new report on . According to news reporting originating from Changsha, People's Republic of Chin a, by NewsRx correspondents, research stated, "Multi-output regression aims to u tilize the correlation between outputs to achieve information transfer between d ependent outputs, thus improving the accuracy of predictive models." Financial supporters for this research include National Natural Science Foundati on of China. The news correspondents obtained a quote from the research from National Univers ity of Defense Technology: "Although the Bayesian support vector machine (BSVR) can provide both the mean and the predicted variance distribution of the data to be labeled, which has a large potential application value, its standard form is unable to handle multiple outputs at the same time. To solve this problem, this paper proposes a multi-output Bayesian support vector machine model (MBSVR), wh ich uses a covariance matrix to describe the relationship between outputs and ou tputs and outputs and inputs simultaneously by introducing a semiparametric late nt factor model (SLFM) in BSVR, realizing knowledge transfer between outputs and improving the accuracy of the model."
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