A Lightweight and Efficient GA-Based Model-Agnostic Feature Selection Scheme for Time Series Forecasting

Year
2022
Private Intelligence relation
INDIRECT
Link
https://scholar.google.com/citations?view_op=view_citation&hl=vi&user=L_NKoQwAAAAJ&pagesize=100&sortby=pubdate&citation_for_view=L_NKoQwAAAAJ:a0OBvERweLwC
Conference/Journal

Asian Conference on Intelligent Information and Database Systems, 26-39

Author(s) from Distilled Foundation
P Le Nguyen
How the work relates to Private Intelligence

Gained Experience

A time series forecasting method