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Новый метод решения проблемы переобучения с использованием символической регрессии, применяемой в машинном обучении для управления движением роботовThis study casts light on the problem of retraining in the context of robot motion control using
Machine Learning Methods Based on Geophysical Monitoring Data in Low Time Delay Mode for Drilling Optimization on the basis of the use of the phase-metric method of control. Any movement of the bit causes a change
Predictive Mapping of Organic Carbon Content in Soils of Russia Using Ensemble Machine Learning–5, 5–15) to the territory of the Russian Federation using ensemble machine learning. Automated
Новые горизонты конкурентоспособности в эпоху развития искусственного интеллекта and effectiveness of AI-controlled robotic systems on production and cites as an example certain machine learning
Intelligent Human Operator Mental Fatigue Assessment Method Based on Gaze Movement Monitoring includes the following machine learning techniques for human state classification: random forest, decision
Decision-making process analysis and semantic explanation extraction from trained supervised machine learning models in medical expert systemsSupervised machine learning provides a mechanism for establishing an approximation of input
Minimizing functions of infeasibilities in a two-machine flow shop of processing n jobs in the two-machine flow shop we shift the jobs on
the second machine backward in time
Identification of Molecular Mechanisms Involved in Viral Infection Progression Based on Text Mining: Case Study for HIV Infection control or the progression of T-cell malfunction induced by HIV. Our study is aimed at the text
Modern applications of machine learningMachine learning is a branch of artificial intelligence based on the idea that machines should
Entropy Dimension Reduction Method for Randomized Machine Learning Problems to the given dimensions oriented to the problems of randomized machine learning and based on the procedure
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