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New UK Collaborative Uses AI to Predict Missing Data Points in Compound Data

Wednesday, 13 March 2019 16:52
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Frederick Dawson

A new UK collaboration focuses on taking sparse data – data where a significant amount of points are missing from the complete sets – or “noisy” data – data where a significant amount of variables could contribute to issues and changes in results – and making predictive models that fill in missing points with degrees of certainty and without having to undergo costly experimentation.

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Last Updated on Wednesday, 13 March 2019 17:00  
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