Gaussian Processes for Machine Learning
We give a basic introduction to Gaussian Process regression models. We focus on understanding the role of the stochastic process and how it is used to define a distribution over...
Publications
3 shownGaussian Process Priors with Uncertain Inputs Application to Multiple-Step Ahead Time Series Forecasting
We consider the problem of multi-step ahead prediction in time series analysis using the non-parametric Gaussian process model. k-step ahead forecasting of a discrete-time non-l...
Assessing Approximations for Gaussian Process Classification
Gaussian processes are attractive models for probabilistic classification but unfortunately exact inference is analytically intractable. We compare Laplace&a...
Frequent Co-Authors
Researcher Info
- h-index
- 3
- Publications
- 3
- Citations
- 10,803
- Institution
- Max Planck Institute for Biological Cybernetics
External Links
Impact Metrics
h-index
3
h-index: Number of publications with at least h citations each.