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 ...

Biomedical engineers at Duke University have demonstrated a new method to significantly improve the effectiveness of machine learning models searching for new molecular therapeutics when using just a ...

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 ...

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

Acknowledging the pain points of the NOVA classification system, researchers have developed a machine learning algorithm to accurately predict the degree of processing for any food. The extent to ...