2 papers
stat.ME2024
Review of Recent Advances in Gaussian Process Regression Methods
Chenyi Lyu, Xingchi Liu, Lyudmila Mihaylova
Gaussian process (GP) methods have been widely studied recently, especially for large-scale systems with big data and even more extreme cases when data is sparse. Key advantages of…
stat.ML2024
Gaussian Process Upper Confidence Bounds in Distributed Point Target Tracking over Wireless Sensor Networks
Xingchi Liu, Lyudmila Mihaylova, Jemin George +1
Uncertainty quantification plays a key role in the development of autonomous systems, decision-making, and tracking over wireless sensor networks (WSNs). However, there is a need o…