...
机译:具有复杂工业过程的自适应样本选择策略的概率加权Copula回归模型
East China Univ Sci & Technol Minist Educ Key Lab Adv Control & Optimizat Chem Proc Shanghai 200237 Peoples R China;
Rutgers State Univ Dept Chem & Biochem Engn Piscataway NJ 08854 USA;
East China Univ Sci & Technol Minist Educ Key Lab Adv Control & Optimizat Chem Proc Shanghai 200237 Peoples R China;
Probabilistic logic; Estimation; Training; Adaptation models; Data models; Probability density function; Distribution functions; Active learning; industrial process; Monte Carlo estimation; probabilistic generative model; probabilistic graphical tool; soft sensor; vine copula;
机译:基于加权概率投影回归的非线性工业过程软传感器建模
机译:奖励加权回归中具有自动模型选择的自适应重要性抽样
机译:奖励加权回归中具有自动模型选择的自适应重要性抽样
机译:用于化学过程的实时学习软传感器的自适应加权相关样本选择
机译:加权分位数回归和oracle模型选择。
机译:对于受访者驱动的采样数据非加权回归模型的性能优于加权回归技术:模拟研究的结果
机译:Copula回归样条样本选择模型: udR包SemiParSampleSel