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Typically, scientific data is clustered thematically, with key findings flanked by supporting evidence. Graphically, this can translate as a large central panel A accompanied by smaller panels B, C, ...
Just over half of heavier drinkers in England say they would make changes to their drinking if calorie labels for alcohol were introduced ... Lead author Professor Andrew Steptoe (UCL Behavioural ...
A theoretical and empirical analysis of support vector machine methods for multiple-instance classification. To appear in Machine Learning Journal. 2013. Single-Instance Learning (SIL) is a "naive" ...
The Food and Drug Administration (FDA) is looking to propose the inclusion of front-of-package warning labels that detail the ...
Yale’s Holly Rushmeier is using AI to “reconstruct” an ancient city in present-day Syria and to predict how forest fires will ...
Researchers evaluated various machine learning methods for false news detection, highlighting the strengths and limitations ...
Fuzzy Set,Black Box,Clustering Algorithm,Computer Vision,Convolutional Neural Network,Data Streams,Feature Space,Membership Function,Deep Learning,Deep Neural Network ...
Brazos County has its first person infected with West Nile Virus. The health district says the person lives in the College ...
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