A Method for Reducing Training Time of ML-Based Cascade Scheme for Large-Volume Data Analysis
Ivan Izonin,
Roman Muzyka,
Roman Tkachenko
et al.
Abstract:We live in the era of large data analysis, where processing vast datasets has become essential for uncovering valuable insights across various domains of our lives. Machine learning (ML) algorithms offer powerful tools for processing and analyzing this abundance of information. However, the considerable time and computational resources needed for training ML models pose significant challenges, especially within cascade schemes, due to the iterative nature of training algorithms, the complexity of feature extra… Show more
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