Sparse Online Learning with Kernels using Random Features for Estimating Nonlinear Dynamic Graphs

Autor:	Baltasar Beferull-Lozano, Joshin P. Krishnan, Rohan Money
Rok vydání:	2023
Popis:	An online nonlinear topology identification algorithm termed RFNL-TIRSO is proposed in the paper. The multivariate time series data received in sequential form is processed online to estimate time-varying nonlinear dependencies
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f8172aaf14ce55515a8526b1f143161 https://doi.org/10.36227/techrxiv.19210092 Zobrazit plný text záznamu