Covariance Kernels for Fast Automatic Pattern Discovery and Extrapolation with Gaussian Processes

@inproceedings{Wilson2010CovarianceKF,
  title={Covariance Kernels for Fast Automatic Pattern Discovery and Extrapolation with Gaussian Processes},
  author={Andrew Gordon Wilson},
  year={2010}
}
Truly intelligent systems are capable of pattern discovery and extrapolation without human intervention. Bayesian nonparametric models, which can uniquely represent expressive prior information and detailed inductive biases, provide a distinct opportunity to develop intelligent systems, with applications in essentially any learning and prediction task. Gaussian processes are rich distributions over functions, which provide a Bayesian nonparametric approach to smoothing and interpolation. A… CONTINUE READING
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