New two-level ensemble method and its application to chemical compounds properties prediction

DOI10.1134/s1995080223010341OpenAlexW4377003394MaRDI QIDQ6040357

A. A. Dokukin, N. N. Kiselyova, O. V. Sen'ko, V. A. Dudarev, Yu. O. Kuznetsova

Publication date: 25 May 2023

Published in: Lobachevskii Journal of Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1134/s1995080223010341

zbMATH Keywords

machine learningregression modelinginorganic compounds physical properties predictionmultilevel machine learning systems

Mathematics Subject Classification ID

Statistics (62-XX) Artificial intelligence (68Txx) Statistical decision theory (62Cxx)

Related Items (1)

New two-level machine learning method for evaluating the real characteristics of objects

Cites Work

• Unnamed Item
• Boosting random subspace method
• Two-level regression method using ensembles of trees with optimal divergence
• Random forests

This page was built for publication: New two-level ensemble method and its application to chemical compounds properties prediction