Predictive machine-learning systems often do not convey the degree of confidence in the correctness of their outputs. To prevent unsafe prediction failures from machine-learning models, the users of ...
Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...
Machine Learning and Artificial intelligence enable the learning of complex nonlinear patterns from high-dimensional datasets. In ESAM, we are interested in leveraging or developing new data-driven ...
Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...
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