Coreset Discovery for Machine Learning Problems

The authors review a coreset discovery problem and three main methods to solve it: geometric coreset estimation, coreset discovery using the genetic algorithm, and coreset discovery using neural networks. They analyze each of these methods and find the cases where they show the best results. The pap...

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Bibliographic Details
Published in:Cybernetics and systems analysis 2024-03, Vol.60 (2), p.198-208
Main Authors: Tereshchenko, V. M., Zakala, P. A.
Format: Article
Language:English
Subjects:
Artificial Intelligence
Comparative analysis
Control
Genetic algorithms
Machine learning
Mathematics
Mathematics and Statistics
Neural networks
Processor Architectures
Software Engineering/Programming and Operating Systems
Systems Theory
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Summary:The authors review a coreset discovery problem and three main methods to solve it: geometric coreset estimation, coreset discovery using the genetic algorithm, and coreset discovery using neural networks. They analyze each of these methods and find the cases where they show the best results. The paper focuses on neural network-based approaches and their ability to solve the coreset discovery problem. The authors perform a comparative analysis of several neural network-based approaches, describe their pros and cons, and determine the further steps in solving the coreset discovery problem.
ISSN:1060-0396
1573-8337
DOI:10.1007/s10559-024-00661-y