Retraction Note to: Change of offshore surface water temperature characteristics based on Bayesian regression and physical recovery of sports training

In this paper, a simple Bayesian distribution regression learning framework based on probability multi-scale kernel (RMK-BDR) is proposed to study the variation of offshore surface water temperature characteristics and physical recovery sports training regression, which can solve problem complex data. first stage distributed learning, average embedded estimator limited dimension same introduced. Through method, number optimal center points be adaptively selected according sample set, so as avoid influence size inconsistent modeling. Climate change most important environmental in today’s society. The East China Sea its adjacent Northwest Pacific have very impact China’s climate. recent years, it has gradually evolved into an area international concern. ocean transport heat storage atmosphere through exchange between air, promote movement change, affect atmospheric cycle. Therefore, annual decades’ temporal spatial sea around China. At time, with rapid development basketball, requirements athletes are also higher higher. There many ways improve strength basketball players. addition scientific training, nutritional support part. However, for long lack understanding relevant theoretical support made not fully applied field.