Method for improving gradient boosting learning efficiency based on modified loss functions

DOI10.1134/S00051179220120074OpenAlexW4327641278MaRDI QIDQ2691539

N. S. Korolev, O. V. Sen'ko

Publication date: 29 March 2023

Published in: Automation and Remote Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1134/s00051179220120074

zbMATH Keywords

loss functiondata analysisdecision treemachine learninggradient boosting

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computational aspects of data analysis and big data (68T09)

Uses Software

• XGBoost
• CatBoost

Cites Work

• Two-level regression method using ensembles of trees with optimal divergence
• Optimal convex correcting procedures in problems of high dimension
• Random forests
• Stochastic gradient boosting.

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