机译:大量学习:基于贝叶斯的高维模型预测
Vrije Univ Amsterdam, Med Ctr, Amsterdam Publ Hlth Res Inst, Dept Epidemiol & Biostat, Amsterdam, Netherlands|Vrije Univ Amsterdam, Dept Math, Amsterdam, Netherlands;
Vrije Univ Amsterdam, Med Ctr, Amsterdam Publ Hlth Res Inst, Dept Epidemiol & Biostat, Amsterdam, Netherlands;
Vrije Univ Amsterdam, Med Ctr, Amsterdam Publ Hlth Res Inst, Dept Epidemiol & Biostat, Amsterdam, Netherlands|Leiden Univ, Fac Sci, Math Inst, Leiden, Netherlands;
co-data; empirical Bayes; marginal likelihood; prediction; variable selection;
机译:高维稀疏载体的经验贝叶斯估算
机译:通过经验贝叶斯变量选择促进高维透明分类
机译:通过非参数经验贝叶斯和最大似然推断进行高维分类
机译:经验最小贝叶斯风险预测:如何从仅具有三个以上参数的视觉模型中提取很少的%性能
机译:高维回归中的经验贝叶斯变量选择。
机译:大量学习:基于贝叶斯的高维模型预测
机译:从很多学习:基于高维模型的预测的经验贝叶斯