Abstract: In recent years, the quantification of structural uncertainty using evidence theory has been widely adopted. However, there is a long-term difficult problem of overconservative reliability ...
Learn prompt engineering with this practical cheat sheet that covers frameworks, techniques, and tips for producing more ...
Abstract: Principal Component Analysis (PCA) is a workhorse of modern data science. While PCA assumes the data conforms to Euclidean geometry, for specific data types, such as hierarchical and cyclic ...
Half of employees now use AI at work at least occasionally. Many of them also don't know their employers' AI strategy. AI is boosting productivity, but not reshaping workflows. Half of all employees ...
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