Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
We will discuss word embeddings this week. Word embeddings represent a fundamental shift in natural language processing (NLP) ...
My Nieman Labs piece (“Google Will Look Beyond Volume Journalism”) sparked a vital debate. Much of the feedback focused on ...
Abstract: With the innovative application of machine learning neural networks, the problem of feature extraction and dimensionality reduction in big data processing has received extensive attention, ...
A U.S. Postal Service employee died after he became stuck inside a mail handling machine at a distribution center in Allen Park, Michigan, according to officials. Nicholas John Acker, 36, was stuck in ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. EncoderMap is a dimensionality reduction method that is tailored for the analysis of ...
Machine learning potential (MLP) training for surface reconstruction analyses. (a) Workflow for MLP training and large-scale configuration space searching. (b-c) Molecular dynamics (MD) simulations at ...
DR-GEM is a self-supervised meta-algorithm that combines principles in distributionally robust optimization with balanced consensus machine learning to overcome the challenges of latent class ...
1 Department of Environmental Sciences, Jahangirnagar University, Dhaka, Bangladesh 2 Division of Translational Cancer Research, Department of Laboratory Medicine, Lund University, Lund, Sweden ...
With the development of artificial intelligence(AI) in computer science and statistics, it has been further applied to the medical field. These applications include the management of infectious ...
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