Automated Model Inference for Gaussian Processes: An Overview of State-of-the-Art Methods and Algorithms

Gaussian process models (GPMs) are widely regarded as a prominent tool for learning statistical data models that enable interpolation, regression, and classification. These models are typically instantiated by a Gaussian Process with a zero-mean function and a radial basis covariance function. While...

Full description