Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document

Autor:	Yang, Zewen, Dai, Xiaobing, Hirche, Sandra
Rok vydání:	2024
Předmět:	Computer Science - Machine Learning Electrical Engineering and Systems Science - Systems and Control
Druh dokumentu:	Working Paper
Popis:	This is a complementary document for the paper titled "Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems".
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2412.11950 Zobrazit plný text záznamu View this record from Arxiv