机译:基于回归的D最优实验设计用于稀疏核密度估计
School of Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, UK;
School of Systems Engineering, University of Reading, Reading RC6 6AY, UK;
School of Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, UK;
probability density function; parzen window estimate; sparse kernel modelling; orthogonal forward regression; optimal experimental design; D-optimality;
机译:结合局部正则化正交最小二乘和D最优实验设计的稀疏核回归建模
机译:结合局部正则化正交最小二乘和D最优实验设计的稀疏核回归建模
机译:稀疏核密度估计的前向约束回归算法
机译:基于D-Optimaly实验设计的正交回归稀疏核密度估计器
机译:通过基于核估计的经验特征函数进行密度估计。
机译:基于回归定理的回归系数的普通最小二乘估计的核密度估计
机译:基于回归的稀疏核密度估计D-最优性实验设计