Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...
1 School of Aeronautics and Astronautics, Sun Yat-sen University, Guangzhou, China. 2 School of Science and Technology, Hunan University of Technology, Zhuzhou, China. To address the multicoupling ...
Objective To undertake a contemporary review of the impact of exercise based cardiac rehabilitation (ExCR) for patients with atrial fibrillation (AF). Data sources CENTRAL, MEDLINE, Embase, PsycINFO, ...
ABSTRACT: This paper applies the novel adaptive learning methodology to forecast agricultural and energy prices in Greece’s volatile, data-scarce markets. We combine traditional ordinary least squares ...
Abstract: Adaptive filtering algorithms play a crucial role in consumer electronic field. However, when faced with nonlinear scenarios involving censored measurement data, traditional algorithms often ...
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