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

Department of Chemical and Biomolecular Engineering, University of Connecticut, Storrs, Connecticut 06269, United States Center for Clean Energy Engineering, University of Connecticut, Storrs, ...

Abstract: Cancer classification based on gene expression data is a critical challenge in modern bioinformatics, requiring efficient and accurate feature selection methods. This study explores the ...

Transfer learning has been widely used to address this issue, but most existing transfer learning algorithms primarily focused on classification tasks. Therefore, we propose a transfer regression ...

The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational ...

APLR allows you to build predictive and interpretable regression or classification machine learning models in Python, using the Automatic Piecewise Linear Regression (APLR) methodology developed by ...