July 2017 – Page 6 – machine-learning-2020

Gaussian Process Models for Robust Regression, Classification, and Reinforcement Learning

M. Kuss

Web sites

Neural Networks – A Systematic Introduction – book online Neural Networks and Deep Learning : free online book Probabilistic Programming & Bayesian neural networks research group DART-Europe E-theses Portal Kernel-Machines.Org The Gaussian Processes Web Site SIAM : Society for Industrial and Applied Mathematics Arxiv Sanity Preserver scikit-learn – Gaussian Process Open archive HAL – HAL … Read more

Approximate Methods for Propagation of Uncertainty with Gaussian Process Models

Agathe Girard

GAUSSIAN PROCESS REGRESSION TECHNIQUES WITH APPLICATIONS TO WIND TURBINES

HILDO BIJL Gaussian Process Regression Techniques – The source code corresponding to the Ph.D. thesis

Prof. Dr. Juš Kocijan

Department of Systems and Control Jožef Stefan Institute

Learning from Demonstration with Gaussian Processes

Markus Schneider

Nonlinear Modelling and Control using Gaussian Processes

Andrew McHutchon

NONSTATIONARY GAUSSIAN PROCESSES FOR REGRESSION AND SPATIAL MODELLING

Christopher Joseph Paciorek

Automatic Model Construction with Gaussian Processes

David Kristjanson Duvenaud

Training and Inference for Deep Gaussian Processes

Keyon Vafa