Machine Learning Models: Using algorithms like neural networks and random forests, these models train prediction models from large samples of match data, gradually improving accuracy. This shift marks ...

Journal of the Royal Statistical Society. Series A (Statistics in Society), Vol. 178, No. 1 (JANUARY 2015), pp. 167-186 (20 pages) We develop a statistical model for the analysis and forecasting of ...

PEPFAR’s computer systems also are being taken offline, a sign that the program may not return, as Republican critics had hoped. By Apoorva Mandavilli The Trump administration has instructed ...

Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ontario, Canada. This paper has three-fold objectives. Firstly, we ...

Abstract: Medical image segmentation is challenging because the boundaries of lesions are often hazy or unclear. As a result, how to better distinguish the lesion boundaries to improve segmentation ...

Deep generative models are a popular data generation strategy used to generate high-quality samples in pictures, text, and audio and improve semi-supervised learning, domain generalization, and ...

In this paper, a new family of survival distributions is presented. It is derived by considering that the latent number of failure causes follows a Poisson distribution and the time for these causes ...

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