Machine learning is an integral part of high-stakes decision-making in a broad swath of human-computer interactions. You ...

At the forefront of discovery, where cutting-edge scientific questions are tackled, we often don't have much data. Conversely ...

Just as people from different countries speak different languages, AI models also create various internal "languages"—a ...

This paper presents the application of the Classification Learner MATLAB tool from the Statistics and Machine Learning Toolbox for the classification process in a fingerprint recognition system based ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

New research reveals a surprising geometric link between human and machine learning. A mathematical property called convexity may help explain how brains and algorithms form concepts and make sense of ...

The supervised learning algorithms have shown promising results in relay selection, and one of the widely applied supervised learning algorithms is the support vector machine (SVM). Therefore, in this ...

To investigate the intrinsic role of EPS in fouling, a predictive membrane fouling model was developed using a supervised learning algorithm trained on experimental EPS data sets. After hyperparameter ...