Active learning represents a transformative paradigm in machine learning, aimed at reducing the annotation burden by selectively querying the most informative data points. This approach leverages ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

Scientists from Peking University conducts a systematic review of studies on integrating machine learning into statistical methods in disease prediction models. Researchers from Peking University have ...

Database optimization has long relied on traditional methods that struggle with the complexities of modern data environments. These methods often fail to efficiently handle large-scale data, complex ...

Education is undergoing a revolutionary transformation in an era marked by rapid technological advancements. The technology of education, once a mere facilitator, now shapes how we learn, teach and ...

Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light ...

"Blended learning" means any form of learning that mixes methods, such as face-to-face coaching and self-paced, recorded and live, individual and group, etc. In this article, I will explore six key ...