Linear Multiple Low-Rank Kernel Based Stationary Gaussian Processes Regression for Time Series

21 April 2019

Papers citing "Linear Multiple Low-Rank Kernel Based Stationary Gaussian Processes Regression for Time Series"

4 / 4 papers shown

Title
Sparsity-Aware Distributed Learning for Gaussian Processes with Linear Multiple Kernel Richard Cornelius Suwandi Zhidi Lin Feng Yin Zhiguo Wang Sergios Theodoridis GP 72 1 0 17 Jan 2025
Towards Flexibility and Interpretability of Gaussian Process State-Space Model Zhidi Lin Feng Yin Juan Maroñas 34 7 0 21 Jan 2023
Rethinking Bayesian Learning for Data Analysis: The Art of Prior and Inference in Sparsity-Aware Modeling Lei Cheng Feng Yin Sergios Theodoridis S. Chatzis Tsung-Hui Chang 68 75 0 28 May 2022
Recent Advances in Data-Driven Wireless Communication Using Gaussian Processes: A Comprehensive Survey Kai Chen Qinglei Kong Yijue Dai Yue Xu Feng Yin Lexi Xu Shuguang Cui 38 30 0 18 Mar 2021