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Department of Chemistry, Zhongshan Hospital, Fudan University, Shanghai 200000, China Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200092 ...

Objectives: This study aims to investigate the efficacy of unsupervised machine learning algorithms, specifically the Gaussian Mixture Model (GMM), K-means clustering, and Otsu automatic threshold ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

Abstract: Machine learning models are used for pattern recognition analysis of big data, without direct human intervention. The task of unsupervised learning is to find the probability distribution ...

Abstract: The increasing popularity of unsupervised machine learning techniques, particularly in clustering algorithms, is evident due to their ability to efficiently generate clusters from large ...

SYDNEY — Artificial intelligence has made headlines for writing essays, generating art, and even passing medical exams. However, most AI systems today still require extensive human guidance to ...

Objective: We aimed to explore the application value of unsupervised machine learning in identifying acute gastrointestinal injury (AGI) after extracorporeal circulation for acute type A aortic ...