Training artificial intelligence to enforce even seemingly straightforward rules—like balls and strikes in Major League ...

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

Even as they adopt AI, companies are measuring employee performance with familiar metrics of success: productivity, goal ...

Researchers use machine learning and satellite data to harvest mountain fog, offering a low-cost, climate-resilient water ...

Chinese scientists have developed a machine learning-based typhoon rapid intensification forecasting model which has been ...

AdaBoost.R2 regression is a machine learning technique used to predict a single numeric value. AdaBoost.R2 builds a sequence of decision tree regressors where each accepted tree improves prediction ...

Abstract: Ensemble learning techniques have achieved state-of-the-art performance in diverse machine learning applications by combining the predictions from two or more base models. This paper ...

A mobile ultrasonic stratified flow velocity measurement device, which utilizes a pair of ultrasonic transducers, was characterized by its low power consumption and the ability to measure multi-layer ...

Using Real-World Data for Machine-Learning Algorithms to Predict the Treatment Response in Advanced Melanoma: A Pilot Study for Personalizing Cancer Care This study aims to investigate the impact of ...