An Observation Angle Dependent Nonstationary Covariance Function for Gaussian Process Regression

@inproceedings{Melkumyan2009AnOA,
  title={An Observation Angle Dependent Nonstationary Covariance Function for Gaussian Process Regression},
  author={Arman Melkumyan and Eric Nettleton},
  booktitle={ICONIP},
  year={2009}
}
Despite the success of Gaussian Processes (GPs) in machine learning, the range of applications and expressiveness of GP models are confined by the limited set of available covariance functions. This paper presents a new non-stationary covariance function which allows simple geometric interpretation and depends on the angle at which points can be seen from an observation centre. The construction of the new covariance function and the proof of its positive semi-definiteness are based on geometric… CONTINUE READING

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