Stepwise regression predicts Arctic sea-ice extent with high accuracy

Under the influence of global warming, the Arctic is transitioning from a state dominated by multi-year thick ice to a "New ...
Deep Learning with Yacine on MSN

Easy Python Project: Machine Learning on EEG Time-Series – Part 0

Start your journey into machine learning with EEG time-series data in this easy-to-follow Python project. Perfect for beginners looking to explore brain signal analysis! #MachineLearning #EEG #PythonP ...
IEEE

Adaptive Learning for Quantum Linear Regression

Abstract: The recent availability of quantum annealers as cloud-based services has enabled new ways to handle machine learning problems, and several relevant algorithms have been adapted to run on ...
C&EN

dpdata: A Scalable Python Toolkit for Atomistic Machine Learning Data Sets

School of Artificial Intelligence and Data Science, Unversity of Science and Technology of China, Hefei 230026, P. R. China Suzhou Institute for Advanced Research, University of Science and Technology ...
C&EN

Machine Learning-Based Excited-State Reactive Force Field: A New Approach for Modeling the Photodissociation Dynamics of 2-Fluorothiophenol

Institute of Theoretical Chemistry, College of Chemistry, Jilin University, Changchun 130023, China ...
IEEE

Spatial Modeling with Automated Machine Learning and Gaussian Process Regression Techniques for Imputing Wafer Acceptance Test Data

Abstract: The Wafer Acceptance Test (WAT) is a significant quality control measurement in the semiconductor industry. However, because the WAT process can be time-consuming and expensive, sampling ...