He studies how changing the way we measure prediction accuracy can ultimately influence the decisions made by humans and machines alike. Frongillo’s research lies between theoretical machine learning ...

As the use of machine learning algorithms in ... of hospitalization prediction tasks. Predictive models often help health insurers’ pharmacy departments design member outreach strategies to ...

Filling gaps in data sets or identifying outliers—that's the domain of the machine learning ... and use them for its predictions. The model especially outperforms other algorithms for small ...

harnessing the power of data and algorithms to teach computer systems how to make accurate predictions. It's possible to use machine learning to discern the mood of a song from its melody or to ...

A research group has developed SPACIER, an advanced polymer material design tool ... of interpolative machine-learning predictions. Various machine learning algorithms have been developed for ...

Researchers in Denmark say they have used powerful machine-learning ... The algorithm then learned from that data, Lehmann says, and was able to make predictions about certain aspects of people ...