In this paper, we propose a machine learning-based automated framework for algorithm selection and configuration for MPC applications. This framework aids the online implementation of MPC by selecting ...

This article presents a demo of decision tree regression, implemented from scratch, using the C# language. The concepts underlying decision tree regression are relatively simple, but implementation is ...

A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A binary classification problem is one where the goal is to predict the value ...

Keywords: explainable machine learning, Bayesian statistics, greedy algorithms, Bayesian decision trees, white box Citation: Nuti G, Jiménez Rugama LIA and Cross A-I (2021) An Explainable Bayesian ...