A Joint introduction to Gaussian Processes and Relevance Vector Machines with Connections to Kalman filtering and other Kernel Smoothers

19 September 2020

Papers citing "A Joint introduction to Gaussian Processes and Relevance Vector Machines with Connections to Kalman filtering and other Kernel Smoothers"

4 / 4 papers shown

Title
A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning and ABC F. Llorente Luca Martino Jesse Read D. Delgado OffRL 140 13 0 03 Jan 2025
Marginal likelihood computation for model selection and hypothesis testing: an extensive review F. Llorente Luca Martino D. Delgado J. Lopez-Santiago 69 84 0 17 May 2020
Active emulation of computer codes with Gaussian processes -- Application to remote sensing D. Svendsen Luca Martino Gustau Camps-Valls 36 54 0 13 Dec 2019
Kernels for Vector-Valued Functions: a Review Mauricio A. Alvarez Lorenzo Rosasco Neil D. Lawrence GP 203 925 0 30 Jun 2011