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Machine Learning Techniques

GAUSSIAN PROCESS REGRESSION TECHNIQUES WITH APPLICATIONS TO WIND TURBINES

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

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

Bayesian Time Series Learning with Gaussian Processes

Roger Frigola-Alcalde

Gaussian Processes – Iterative Sparse Approximations

Lehel Csato

Flexible and efficient Gaussian process models for machine learning

Edward Lloyd Snelson

NONLINEAR DYNAMICS IDENTIFICATION USING GAUSSIAN PROCESS PRIOR MODELS WITHIN A BAYESIAN CONTEXT

Keith Neo Kian Seng

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