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.

Join this conversation with the Vows writer Rosalie R. Radomsky by Feb. 14 to find out. By The Learning Network A teacher whose students won last year’s competition shares the steps she followed.

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 ...

Resolving Ambiguity: How the Brain Uses Context in Decision-Making and Learning Dec. 10, 2024 — Life can be tricky. We have so many decisions to make. It's a good thing we have an orbitofrontal ...

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This medication blocks a specific type of immune cell (T lymphocytes) from entering the brain and spinal cord. This medication is typically used to treat active disease in people with secondary ...

Lehrstuhl für Theoretische Chemie, Ruhr-Universität Bochum, Bochum 44780, Germany ...

DIO2 affects how your body converts T4 into T3, which is the active form of the hormone. The levothyroxine brand Tirosint has fewer ingredients and may be better tolerated by people with digestive ...