Machine learning models are trained with huge amounts of data and must be tested before practical use. For this, the data must first be divided into a larger training set and a smaller test set—the ...
Group testing algorithms are an emerging frontier in applied mathematics and computer science that focus on the efficient identification of defective items within large populations through pooled ...
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