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The Relationship between Emotional Burnout and the Quality of Life of Psychiatrists; [Связь эмоционального выгорания и качества жизни врачей-психиатров] version of the WHO questionnaire “Quality of Life” (WHOQOL-BREF). The multiple linear regression was used
Predicting mechanical properties of self-healing concrete with Trichoderma Reesei Fungus using machine learning, and 14.5 for 7 days. In this study, linear regression, lasso regression, and rigid regression have been
Прогнозирование дневного количества осадков методами машинного обучения the performance of two machine learning methods (multivariate linear regression and random forest).
АНАЛИТИЧЕСКИЕ ВОЗМОЖНОСТИ МАШИННОГО ОБУЧЕНИЯ В ЭКОНОМИЧЕСКОМ ПРОГНОЗИРОВАНИИ, linear regression, Decision Stump and the support vector machine, as well as boosting techniques
Synthesised Optimal Control for a Robotic Group by Complete Binary Genetic Programming*The paper continues the study of symbolic regression methods for control learning. The optimal
Total probability formula for vector gaussian distributions confirm the new theorem by direct calculation for the case of the simple linear regression.
MMSE based K-best algorithm for efficient MIMO detection simple linear detectors, such as Minimum Mean Square Error (MMSE). © 2017 IEEE.
Predictive Models for the Free Energy of Hydrogen Bonded Complexes with Single and Cooperative Hydrogen Bonds and Multiple Linear Regression, with ISIDA fragment descriptors. The marked atoms strategy was applied
Analysis of Models to Predict Mechanical Properties of High-Performance and Ultra-High-Performance Concrete Using Machine Learning (MAE), and root-mean-square error (RMSE) were selected. Finally, PLS, Linear, and Lasso regressions had
Regression models predicting the number of deaths from the new coronavirus infection statistics were used; mathematical modeling was based on linear regression. Statistical data processing
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