Researchers at Rice University have developed a new machine learning (ML) algorithm that excels at interpreting the "light ...

Since generative AI began to garner public interest, the computer vision research field has deepened its interest in ...

Harvard University has opened access to a curated list of ten free online courses. The courses, hosted on edX covers key ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of Nadaraya-Watson kernel regression ...

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 ... (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.

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 ...