Gradient Boosting Regressor: Gradient Boosting is an ensemble learning method that combines the predictions of multiple weak learners (typically decision trees) to create a powerful predictive ...

Abstract: In this paper, we consider a Model Predictive Control (MPC) problem of a continuous-time linear timeinvariant system subject ... To address this, we develop a Primal-Dual Hybrid Gradient ...

Abstract: This paper proposes a dual fast gradient-projection method for solving quadratic programming problems that arise in linear model predictive control with general polyhedral constraints on ...

Key Techniques and Models: Generalized Linear Models (GLM): GLM2: A basic GLM focusing on driver age and other key features. GLM5: An advanced GLM incorporating interactions found using gradient tree ...

Using ridge regression, the suggested model decreases multicollinearity, overfitting, and achieves minimal variance and bias. Evaluate the performance of our predictive ... The exhaustive search was ...