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Experimental studies of restoration of ball mill trunnion. Importance of coefficients is estimated, and the adequacy of regression models is checked
Target redirected regression with dynamic neighborhood structure structures of data and lacks robustness. To address these issues, this paper proposes a general regression
Unemployment and output dynamics in CIS countries: Okun’s law revisited© 2016 Informa UK Limited, trading as Taylor & Francis Group.Okun’s law is a well
Автоматизированный программный комплекс для моделирования надежности сложных систем technical systems is described. A bootstrap procedure is used for statistical modelling of test results
Nonparametric estimation of net premiums in collective life insurance for the M individualsNonparametric estimation of net premiums in collective life insurance for the M individuals
Solving the Control Synthesis Problem Through Supervised Machine Learning of Symbolic Regression. Symbolic regression methods, which were previously called genetic programming methods, allow one to use a
Symbolic regression methods for control system synthesisIn this paper we use symbolic regression methods for control system synthesis. We compare three
Nose, eyes and ears: head pose estimation by locating facial keypointsMonocular head pose estimation requires learning a model that computes the intrinsic Euler angles
A robust algorithm for explaining unreliable machine learning survival models using the Kolmogorov–Smirnov boundsA new robust algorithm based on the explanation method SurvLIME called SurvLIME-KS is proposed
Role of correlation and regression analysis in the diagnosis of cardiovascular desynchronization among locomotive drivers in Russia. Regression analysis was used for correlation of desynchronization with manifestations of CVDs. Results. A
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