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Comparative analysis of Machine and deep Learning Algorithms in semantic analysis
Staradubets, A.
The article compare different approaches as machine learning and deep learning in semantic analysis
Анализ погрешности позиционирования узлов станков с числовым программным управлением
Матвеенцева, М. В.
An analysis of the positioning error of CNC-machine tool components using the planar method
Comparative Analysis of Machine Learning Methods for Prediction of Heart Diseases
Savkin M.O., Lyu D., Zidun M., Stepanyan I.V., Alimbayev Ch.A.
and their parameters were conducted. Based on the comparative analysis, the models and methods of machine learning were
A robust algorithm for explaining unreliable machine learning survival models using the Kolmogorov–Smirnov bounds
Kovalev M.S.
for explaining machine learning survival models. The algorithm is developed to ensure robustness to cases of a
Face recognition system based on principal component analysis and support vector machine classification
Wang Kaiyu
on the respective advantages of principal component analysis and support vector machine, this article will discuss a
An Approach to Cell Nuclei Counting in Histological Image Analysis
Lukashevich, M., Starovoitov, V.
An Approach to Cell Nuclei Counting in Histological Image Analysis
Machine learning methods in computational toxicology
© Springer Science+Business Media, LLC, part of Springer Nature 2018. Various methods of machine
A machine-learning scraping tool for data fusion in the analysis of sentiments about pandemics for supporting business decisions with human-centric AI explanations
Kumar S.A., Nasralla M.M., García-Magariño I., Kumar H.
commercialization techniques. This article proposes an expert system based on the combination of machine learning
Decision-making process analysis and semantic explanation extraction from trained supervised machine learning models in medical expert systems
Kurachkin, A. V., Sadau, V. S., Kachan, T. V., Курочкин, А. В., Садов, В. С., Качан, Т. В.
Supervised machine learning provides a mechanism for establishing an approximation of input
Speech recognition using machine learning
Tsvirko, A. I.
in many sectors such as medicine, psychology, marketing, security. Analysis of the speech signal

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