机译:基于偏最小二乘法的模型选择
The MOE Key Laboratory of Embedded System and Service Computing, Department of Control Science and Engineering, Tongji University, Shanghai 201804, China;
The MOE Key Laboratory of Embedded System and Service Computing, Department of Control Science and Engineering, Tongji University, Shanghai 201804, China;
The MOE Key Laboratory of Embedded System and Service Computing, Department of Control Science and Engineering, Tongji University, Shanghai 201804, China;
The MOE Key Laboratory of Embedded System and Service Computing, Department of Control Science and Engineering, Tongji University, Shanghai 201804, China;
partial least squares; dimension reduction; model selection;
机译:基于预测性能等级变量的局部最小二乘模型改进的变量约简和局部最小二乘复杂度的自适应
机译:病例对照全基因组关联研究基于维数减少的逻辑回归模型的比较:主成分分析与偏最小二乘
机译:病例对照全基因组关联研究的基于维数减少的逻辑回归模型比较:主成分分析与偏最小二乘
机译:肿瘤分类的基于尺寸减少的特征选择和偏最小二乘
机译:稀疏的偏最小二乘回归,可同时进行降维和变量选择,并应用于高维基因组数据
机译:病例对照全基因组关联研究基于维数减少的逻辑回归模型的比较:主成分分析与偏最小二乘
机译:基于偏最小二乘的降维和用于肿瘤分类的基因选择
机译:使用全面的二维气相色谱结合飞行时间质谱和偏最小二乘分析对Rp-1燃料高级蒸馏数据进行建模。