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Revisiting the Optimal Probability Estimator from Small Samples for Data Mining Cover

Revisiting the Optimal Probability Estimator from Small Samples for Data Mining

International Journal of Applied Mathematics and Computer Science
Volume 29 (2019): Issue 4 (December 2019)
By: Bojan Cestnik  
Open Access
|Dec 2019

Authors

Bojan Cestnik

bojan.cestnik@temida.si

Department of Knowledge Technologies Jožef Stefan Institute, Ljubljana, Slovenia
Ljubljana, Slovenia
DOI: https://doi.org/10.2478/amcs-2019-0058 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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Language: English
Page range: 783 - 796
Submitted on: Dec 15, 2018
|
Accepted on: Apr 23, 2019
|
Published on: Dec 31, 2019
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
probability estimation,
small samples,
minimal error,
m-estimate
Related subjects:
Mathematics,
Applied mathematics

© 2019 Bojan Cestnik, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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