Abstract: Data stream learning is an emerging machine learning paradigm designed for environments where data arrive continuously and must be processed in real time. Unlike traditional batch learning, ...

Data Science Program, University of Delaware, Newark, Delaware 19716, United States Department of Materials Science and Engineering, University of Delaware, Newark, Delaware 19716, United States ...

The Society for Financial Econometrics (SoFiE) Summer School is an annual week-long research-based course for PhD students, new faculty, and professionals in financial econometrics. For the first two ...

Increases in computing power and the availability of more data through social media and crowdsourcing have facilitated the use of machine-learning in psychological research. Machine learning has been ...

Abstract: This paper presents a dynamic selector model for data workload prediction. A main function responsible for selecting the most accurate Machine Learning Algorithm (e.g., Linear Regression, ...

In the past few years, HR has seen a significant transformation driven by the rise of machine learning tools and technology. 1 These tools extract insights, patterns, and predict trends from massive ...

1 Department of Advanced Mechanical Engineering, Kangwon National University, Chuncheon, Republic of Korea 2 Department of Mechanical and Biomedical Engineering, Kangwon National University, Chuncheon ...

1 Electrical and Computer Engineering, Iowa State University, Ames, IA, United States 2 Mechanical Engineering, Iowa State University, Ames, IA, United States Atomic force microscopy (AFM) is a part ...

With COVID-19 keeping everyone indoors, this is the perfect opportunity to brush up your data science skills. Data science is a field that is booming and is playing a huge role in society. Instead of ...