Corpus ID: 59860283

Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)

@inproceedings{Rasmussen2005GaussianPF,
  title={Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)},
  author={C. Rasmussen and Christopher K. I. Williams},
  year={2005}
}
Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. [...] Key Method A wide variety of covariance (kernel) functions are presented and their properties discussed. Model selection is discussed both from a Bayesian and a classical perspective.Expand
Probabilistic Programming with Gaussian Process Memoization
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Kernel learning at the first level of inference
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