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 ...

Blake Miller, Fridolin Linder, Walter R. Mebane Jr. Supervised machine learning methods are increasingly employed in political science. Such models require costly manual labeling of documents. In this ...

A Chinese research team wrote a review article on deep active learning, an increasingly popular method of combining active learning with deep learning for sample selection in the training of neural ...

Active learning is not a new concept. Though coined by Bonwell and Eisen (1991), aspects of active learning can be found in studies by Piaget, Vygotsky, and Dewey*. Active Learning is a broad set of ...

Engaging students through interactive activities, discussions, feedback and AI-enhanced technologies resulted in improved academic performance compared to traditional lectures, lessons or readings, ...

Strad Vision has obtained a patent for an autonomous driving perception network, marking a breakthrough in in-vehicle active learning technology.

Have you ever given a lecture to a group of adult learners? If so, you may have noticed their eyes losing focus and phones appearing as you moved through your session. This is because the traditional ...