Evaluation of prediction reliability in regression using the transduction principle

@inproceedings{Bosnic2003EvaluationOP,
  title={Evaluation of prediction reliability in regression using the transduction principle},
  author={Zoran Bosnic and Igor Kononenko and Marko Robnik-Sikonja and Matjaz Kukar},
  year={2003}
}
In machine learning community there are many efforts to improve overall reliability of predictors measured as an error on the testing set. But in contrast, very little research has been done concerning prediction reliability of a single answer. This article describes an algorithm that can be used for evaluation of prediction reliability in regression. The basic idea of the algorithm is based on construction of transductive predictors. Using them, the algorithm makes inference from the… CONTINUE READING

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References

Publications referenced by this paper.
Showing 1-10 of 10 references

Evaluation of classification reliability and cost sensitive combining of machine learning methods

  • Matjaž Kukar
  • PhD thesis, University of Ljubljana, Faculty of…
  • 2001
1 Excerpt

The role of unlabelled data in supervised learning

  • T. Mitchell
  • Proceedings of the 6th International Colloquium…
  • 1999
1 Excerpt

Statistical concepts in reliability. InStatistical Analysis of Reliability Data , pages 1–11

  • M. J. Crowder, A. C. Kimber, R. L. Smith, T. J. Sweeting
  • 1991
1 Excerpt

RELATIVE MEAN SQUARED ERROR AND SIGNIFICANCE OF THE DIFFERENCES FOR REGRESSION TREES . domain initial RMSE RMSE with lin. reg. change RMSE with LWR change Autompg

  • Leo Breiman, Jerome H. Friedman, Richard A. Olshen, J Charles
  • 1984
1 Excerpt

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