Abstract: Local Interpretable Model-agnostic Explanations (LIME) is an interpretable method used to explain the predictions of machine learning models. It generates perturbed samples around an ...
Common blood test results may offer an early clue to bone loss, suggesting that alkaline phosphatase levels could help identify people who may benefit from earlier osteoporosis assessment before ...
Mr. Marcus is a founder of two A.I. companies and the author of six books on natural and artificial intelligence. GPT-5, OpenAI’s latest artificial intelligence system, was supposed to be a game ...
Introduction: Various mathematical equations have been proposed to correct QT interval for heart rate (QTc). However, with most formulas, QTc remains dependent on heart rate (HR) especially at low and ...
The API cannot be considered stable. If you depend on this package, pin the version. Testing has not been extensive as of now. Please check and verify! There is currently no documentation beyond this ...
Machine performance has surpassed human capabilities in various tasks, yet the opacity of complex models limits their adoption in critical fields such as healthcare. Explainable AI (XAI) has emerged ...
The year that ChatGPT went viral, only two US companies—OpenAI and Google—could boast truly cutting-edge artificial intelligence. Three years on, AI is no longer a two-horse race, nor is it purely an ...
Abstract: Generalized additive models (GAMs) have been successfully applied to high dimensional data. However, most existing methods cannot capture the high level feature patterns from complex data.
Interpretability has drawn increasing attention in machine learning. Partially linear additive models provide an attractive middle ground between the simplicity of generalized linear model and the ...
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