Combining Estimators Using Non-Constant Weighting Functions

  title={Combining Estimators Using Non-Constant Weighting Functions},
  author={Volker Tresp and Michiaki Taniguchi},
This paper discusses the linearly weighted combination of estimators in which the weighting functions are dependent on the input. We show that the weighting functions can be derived either by evaluating the input dependent variance of each estimator or by estimating how likely it is that a given estimator has seen data in the region of the input space close to the input pattern. The latter solution is closely related to the mixture of experts approach and we show how learning rules for the… CONTINUE READING

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