Linear Regression Cost function in Machine Learning is "error" representation between actual value and model predictions. To minimize the error, we need to minimize the Linear Regression Cost ...

A. I. Khuri, M. Conlon, Simultaneous Optimization of Multiple Responses Represented by Polynomial Regression Functions, Technometrics, Vol. 23, No. 4 (Nov., 1981), ... of several response functions ...

Jianhua Z. Huang, Haipeng Shen, Functional Coefficient Regression Models for Non-Linear Time Series: A Polynomial Spline Approach, Scandinavian Journal of Statistics, Vol. 31, No. 4 (Dec., 2004), pp.