In the past several years, researchers have exploited the pattern-finding power of machine learning to create new frameworks ...

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 ...

It can be relatively cheap to gather a lot of bio-signal data. To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the ...

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

Department of Chemistry, Sharif University of Technology, Tehran 11155-9516, Iran Center for Nanoscience and Nanotechnology, Institute for Convergence Science & Technology, Sharif University of ...

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

This white paper describes new technology that enables engineers to easily program key functions into a linear position sensor and the inductive sensing technology that makes it possible.