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Machine learning methods for anaphora resolution
Kamenskaya M.A., Khramoin I.V.
This paper presents the methods of ahaphora resolution based on machine learning. The question
Assessing the Capacity of the Machine Interpreting Technologies: The Russian Experience
Belenkova N.
The role and efficacy of various machine interpreting technologies are widely discussed nowadays
Анализ библиотек алгоритмов Machine Learning
Карпович, М. Н.
Анализ библиотек алгоритмов Machine Learning
Problems of deep machine learning
Ziulkovskiy, A. A.
Problems of deep machine learning
Speech recognition using machine learning
Tsvirko, A. I.
Speech recognition using machine learning
How similar are we to a machine?
Panev, A. S.
How similar are we to a machine?
Experimental research of stress loading of bearing structures in hinge joint logging machinery
Golyakevich, S. A., Goronovski, A. R.
Experimental research of stress loading of bearing structures in hinge joint logging machinery
Development of a mathematical model of hydroerosive wear in piston couples of hydraulic machines: Part 2
Budarova O., Boldyrev S.
in hydraulic machines due to the presence of water or air in a fluid that was used in the mathematical model
Using artificial intelligence to develop a machine translation system and teaching resources in the Tuvan language; [Использование искусственного интеллекта для создания системы машинного перевода и образовательных ресурсов на тувинском языке]
Novikova M.L., Novikov P.N.
in the development of large language models based on machine learning and neural network technologies have reached
Development of multisector pulsed neutron logging tool constructional parts
Khamiev M., Kosarev V., Goncharova G., Kosareva L.
on the results of mathematical modeling aimed to construct multisector pulsed neutron logging (PNL) tool

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