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По вашему запросу найдено документов: 37820

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Factors Affecting Machine Learning Algorithms Selection
Zibitsker, B., Heger, D. A.
Selection of the Machine Learning (ML) algorithms and ML Libraries affect accuracy, response time
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
Imbalanced data classification algorithm
Guo Qiang
Imbalanced data classification algorithm
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
Machine learning control based on approximation of optimal trajectories
Diveev A., Konstantinov S., Shmalko E., Dong G.
The paper is devoted to an emerging trend in control—a machine learning control. Despite
Imbalanced data classification algorithm
Guo, Quang, Geman, O. V.
, based on ensemble learning. Research and improvement of classification algorithms.
K-means clustering algorithm and improvement methods
Zhang Hengrui, German, Y. O.
This article introduces the K-means clustering algorithm as well as several improved K
Artificial intelligence and machine learning algorithms for environmental management strategies
Kurianovich, N. A.
application in the field of environment and climate change, as well as the help of machine learning
Distorted qr-code correction algorithm
Feiyi, Xiao, German, O. V.
Distorted qr-code correction algorithm
LEVERAGING MACHINE LEARNING ALGORITHMS FOR THE ESTIMATION OF SPEECH PERCEPTION PATTERNS IN A SECOND LANGUAGE
Georgiou P.G.
This study aims to compare the ability of three machine learning classifiers, namely, discriminant

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