Abstract: Active learning is a protocol for supervised machine learning in which a learning algorithm sequentially requests the labels of selected data points from a large pool of unlabeled data. This ...
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
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Lehrstuhl für Theoretische Chemie, Ruhr-Universität Bochum, Bochum 44780, Germany ...
Early onset IBD activity correlates with higher psychiatric diagnoses and psychotropic medication use. Active IBD patients have increased odds of developing major depressive disorder, anxiety ...
Active funds pulled ahead of their passive peers, with a 4% success rate increase. It's difficult to choose between active vs. passive investing approaches. Though about 51% of actively managed ...