Relational Learning with Gaussian Processes

@inproceedings{Chu2006RelationalLW,
  title={Relational Learning with Gaussian Processes},
  author={Wei Chu and Vikas Sindhwani and Zoubin Ghahramani and S. Sathiya Keerthi},
  booktitle={NIPS},
  year={2006}
}
Correlation between instances is often modelled via a kernel function using input attributes of the instances. Relational knowledge can further reveal additional pairwise correlations between variables of interest. In this paper, we develop a class of models which incorporates both reciprocal relational information and input attributes using Gaussian process techniques. This approach provides a novel non-parametric Bayesian framework with a data-dependent covariance function for supervised… CONTINUE READING
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