Missing data imputation by LOLIMOT and FSVM/FSVR algorithms with a novel approach: a comparative study

DOI10.1007/978-3-319-91476-3_46OpenAlexW2803742393MaRDI QIDQ2107371

Mir Mohsen Pedram, Pegah Motakefi, Fatemeh Fazlikhani

Publication date: 1 December 2022

Full work available at URL: https://doi.org/10.1007/978-3-319-91476-3_46

zbMATH Keywords

imputationmissing datafuzzy support vector machine (FSVM)fuzzy support vector regression (FSVR)local linear neuro-fuzzy model (LOLIMOT)

Mathematics Subject Classification ID

Artificial intelligence (68Txx)

This page was built for publication: Missing data imputation by LOLIMOT and FSVM/FSVR algorithms with a novel approach: a comparative study