Extensions of Gaussian Processes for Ranking : Semi-supervised and Active Learning

@inproceedings{Chu2005ExtensionsOG,
  title={Extensions of Gaussian Processes for Ranking : Semi-supervised and Active Learning},
  author={Wei Chu},
  year={2005}
}
Unlabelled examples in supervised learning tasks can be optimally exploited using semi-supervised methods and active learning. We focus on ranking learning from pairwise instance preference to discuss these important extensions, semi-supervised learning and active learning, in the probabilistic framework of Gaussian processes. Numerical experiments demonstrate the capacities of these techniques. 
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