Optimum Probability Estimation Based on Expectations.

Norbert Fuhr, Hubert Hüther: Optimum Probability Estimation Based on Expectations. SIGIR 1988: 257-273

@inproceedings{DBLP:conf/sigir/FuhrH88,
  author    = {Norbert Fuhr and
               Hubert H{\"u}ther},
  editor    = {Yves Chiaramella},
  title     = {Optimum Probability Estimation Based on Expectations},
  booktitle = {SIGIR'88, Proceedings of the 11th Annual International ACM SIGIR
               Conference on Research and Development in Information Retrieval,
               Grenoble, France, June 13-15, 1988},
  publisher = {ACM},
  year      = {1988},
  pages     = {257-273},
  ee        = {db/conf/sigir/FuhrH88.html},
  crossref  = {DBLP:conf/sigir/88},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

BibTeX

Abstract

Probability estimation is important for the application of probabilistic models as well as for any evaluation in IR. We discuss the interdependencies between parameter estimation and other properties of probabilistic models. Then we define an optimum estimate which can be applied to various typical estimation problems in IR. A method for the computation of this estimate is described which uses expectations from empirical distributions. Some experiments show the applicability of our method, whereas comparable approaches are partially based on false assumptions or yield estimates with systematic errors.

Copyright © 1988 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.

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Yves Chiaramella (Ed.): SIGIR'88, Proceedings of the 11th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Grenoble, France, June 13-15, 1988. ACM 1988
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