Transductive Gaussian Process Regression with Automatic Model Selection

@inproceedings{Le2006TransductiveGP,
  title={Transductive Gaussian Process Regression with Automatic Model Selection},
  author={Quoc V. Le and Alexander J. Smola and Thomas G{\"a}rtner and Yasemin Altun},
  booktitle={ECML},
  year={2006}
}
In contrast to the standard inductive inference setting of predictive machine learning, in real world learning problems often the test instances are already available at training time. Transductive inference tries to improve the predictive accuracy of learning algorithms by making use of the information contained in these test instances. Although this description of transductive inference applies to predictive learning problems in general, most transductive approaches consider the case of… CONTINUE READING

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