The world's largest machine learning conference opens Monday in Seoul, South Korea — and for the first time in the 43rd-year history of the International Conference on Machine Learning, it arrives ...
Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...
Background Rheumatic heart disease (RHD) remains a major cause of morbidity and mortality in low-resource settings, ...
Abstract: In millimeter wave (mmWave) systems, it is challenging to ensure reliable communication links due to the high sensitivity to the presence of blockages. In order to improve the robustness of ...
Abstract: Seeking probability models for images, we employ a spectral approach where the images are decomposed using bandpass filters and probability models are imposed on the filter outputs (also ...
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Healthcare decisions should be based on all relevant evidence.1 Usually, this is provided by randomised controlled trials (RCTs) comparing two or more interventions for a condition affecting a target ...
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Development and Validation of an Explainable Machine Learning Model to Assess the Prevalence Probability of Gastrointestinal Heat Retention Syndrome in Children: Cross-Sectional Study Senlong Hou, ...
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