Reinforcement learning (RL) is machine learning (ML) in which the learning system adjusts its behavior to maximize the amount of reward and minimize the amount of punishment it receives over time ...
Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
Abstract: One of the prominent challenges encountered in real-world data is an imbalance, characterized by unequal distribution of observations across different target classes, which complicates ...
Abstract: Learning models for dynamical systems in continuous time is significant for understanding complex phenomena and making accurate predictions. This brief presents a novel approach utilizing ...
Background: Eczema and psoriasis are common chronic dermatoses with overlapping features, making early differential diagnosis difficult. While biopsy is the gold standard, its invasiveness and ...
Department of Chemistry, Faculty of Science, University of British Columbia, Vancouver Campus, 2036 Main Mall, Vancouver, British Columbia V6T 1Z1, Canada Department of Electrical and Computer ...
We developed a classifier to infer acute ischemic stroke severity from Medicare claims using the modified Rankin Scale at discharge. The classifier can be used to improve stroke outcomes research and ...
1 Department of Orthopedics and Trauma Surgery, University Hospital Schleswig-Holstein, Kiel, Germany 2 Department for Materials Sciences, Functional Nanomaterials Chair, Faculty of Engineering, Kiel ...
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