ABSTRACT: In this work, we seek the relationship between the order of the polynomial model and the number of knots and intervals that we need to fit the splines regression model. Regression models ...

Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn) pwtools ...

Polynomial Generator is a Python package that provides a command-line interface (CLI) application and a graphical user interface (GUI) application for generating polynomial expressions. It allows ...

In an era when change is the only constant, society is not merely evolving; it finds itself in a state of crisis. The concept of societal regression, introduced by psychiatrist Murray Bowen, offers a ...

Autistic regression refers to a loss of previously acquired skills or a backtracking of developmental milestones. In young children, it may represent autism onset. In older children and adults, it may ...

Abstract: Multivariate polynomial optimization problems are ubiquitous in signal processing, machine learning, and artificial intelligence. Examples include, but are not limited to, blind source ...

ABSTRACT: It is proposed to generalize the concept of the famous classical Cayley-Hamilton theorem for square matrices wherein for any square matrix A, the det (A-xI) is replaced by det f(x) for ...