In this article, we develop piecewise linear surrogates using Machine Learning (ML) models and the Optimization and Machine Learning Toolkit (OMLT) to show how process families can be designed to ...

Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality ...

support vector machine and linear regression. One study compared the classification prediction between machine learning algorithms and humans, including experienced psychiatrists, and found that ...

Abstract: Recently, the machine unlearning has emerged as a popular method ... In this article, we propose the first unlearning attack dubbed unlearning attack for regression learning (UnAR) to ...

A linear SVR model uses an unusual error/loss function and cannot be trained using standard simple techniques, and so evolutionary optimization training is used. The goal of a machine learning ...

Design and model a linear actuator into your press application using sizing and selection software. You, or a machine builder, can then complete the design and specify the press fixture ...