Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
The goal of liu.lab4.algorithms is to provide an R implementation of a multiple linear regression mode. This package was created for Lab 4 in the course 732A94 Advanced R Programming at Linköping ...
1 Shangwan Coal Mine, Ejin Horo Banner, Ordos, China 2 CCTEG Xi’an Research Institute Co. Ltd., Xi’an, China This study introduces an XGBoost-MICE (Multiple Imputation by Chained Equations) method for ...
ABSTRACT: Burundi faces major agricultural constraints, including land fragmentation, soil erosion, limited access to inputs, inadequate infrastructure and demographic pressures that exacerbate food ...
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of k-nearest neighbors regression to predict a single numeric value. Compared to other machine learning ...
The evaluation of sound quality is a significant area of research in audio and acoustics (Lyon, 2003). Traditional methods for assessing vehicle sound quality involve both subjective and objective ...
Abstract: Aiming at the problems of high cost and large amount of computation in real-time online calibration of PMSM’s electromagnetic torque, a multi-linear regression offline calibration algorithm ...
Abstract: this paper establishes a line loss anomaly identification method based on a computer multiple linear regression model. This method combines outlier detection and multiple linear regression ...
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