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Nearest-neighbor and non-nearest-neighbor interactions between substituents in the benzene ring. Experimental and theoretical study of functionally substituted benzamides
Verevkin S., Emel'yanenko V., Nagrimanov R.
of the experimental and theoretical gas-phase enthalpies of formation. Sets of nearest-neighbor and non-nearest-neighbor
СОВЕРШЕНСТВОВАНИЕ МЕТОДОВ ОПРЕДЕЛЕНИЯ ЦЕНЫ НА ПРОДУКЦИЮ, ВЫПУСКАЕМУЮ ПО ПРОГРАММЕ ИМПОРТОЗАМЕЩЕНИЯ
Чурсин А.А., Груздев К.С.
, in particular the k-nearest neighbors algorithm (KNN) method and neural networks when modernizing existing
Nearest-neighbor and non-nearest-neighbor interactions between substituents in the benzene ring. Experimental and theoretical study of functionally substituted benzamides
Verevkin S., Emel'yanenko V., Nagrimanov R.
of the experimental and theoretical gas-phase enthalpies of formation. Sets of nearest-neighbor and non-nearest-neighbor
On quantum methods for machine learning problems part II: Quantum classification algorithms
Ablayev F., Ablayev M., Huang J.Z., Khadiev K., Salikhova N., Wu D.
© 2020 The author(s). This is a review of quantum methods for machine learning problems
Fast and Accurate Patent Classification in Search Engines
Yadrintsev V., Bakarov A., Suvorov R., Sochenkov I.
approach, based on linguistically-supported k-nearest neighbors. We experimentally evaluate
Преимущества и роль машинного обучения при оценке конкурентоспособности предприятий в условиях цифровой экономики
Салтыкова О.А., Саушкин В.Д.
to solve determining competitiveness problem, there was no need to use real data. The k-nearest neighbors
Effect of non-nearest-neighbor interactions on the properties of the {001} and {011} surfaces of crystals with a simple cubic lattice
Mamontov I.V., Mukhammed S.
The correlated non-symmetrized self-consistent field method is used in studying the structural
Equilibrium properties of the lattice fluid with the repulsion between the nearest neighbors on the two-level lattice with nonrectangular geometry
Groda, Ya. G.
The equilibrium properties of the lattice fluid with the repulsion between the nearest neighbors
Нейросетевые методы сжатия векторов для задачи приближенного поиска ближайших соседей
Буянов И.О., Ядринцев В.В., Соченков И.В.
compression in the pipeline of approximate nearest neighbor search. The evaluation was conducted on several
Extreme Gradient Boosting Algorithm for Predicting Shear Strengths of Rockfill Materials
Ahmad M., Al-Mansob R.A., Kashyzadeh K.R., Keawsawasvong S., Sabri Sabri M.M., Jamil I., Alguno A.C.
against support vector machine (SVM), adaptive boosting (AdaBoost), random forest (RF), and K-nearest

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