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Automatic Documentation and Mathematical Linguistics

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01-04-2022 | GENERAL SECTION

Loss of Scientific Knowledge As a Consequence of Publication Requirements

Author: D. V. Vinogradov

Published in: Automatic Documentation and Mathematical Linguistics | Issue 2/2022

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Abstract

In the process of analyzing modern courses on Bayesian methods in machine learning, we discovered there to be a loss of knowledge on the inconsistency of Bayesian learning of the Dirichlet model. We present a particularly simple presentation of such a failure. The reason for the phenomenon of forgetting known scientific facts is a change in the requirements for publications in scientific journals, i.e., references only to modern publications (not older than 5 years).

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Bishop, C.M., Pattern Recognition and Machine Learning, Information Science and Statistics, New York: Springer, 2006.

Diaconis, P. and Freedman, D.A., On the consistency of Bayes estimates (with discussion), Ann. Stat., 1986, vol. 14, pp. 1–26. https://doi.org/10.1214/aos/1176349831CrossRefMATH

Miller, J.W. and Harrison, M.T., A simple example of Dirichlet process mixture inconsistency for the number of components, Proc. 26th Int. Conf. on Neural Information Processing Systems, Lake Tahoe, Nev., 2013, Burges, C.J.C., Bottou, L., Welling, M., Ghahramani, Z., and Weinberger, K.Q., Eds., Red Hook, N.Y.: Curran Associates, 2013, vol. 1, pp. 199–206.

Title: Loss of Scientific Knowledge As a Consequence of Publication Requirements
Author: D. V. Vinogradov
Publication date: 01-04-2022
Publisher: Pleiades Publishing
Published in: Automatic Documentation and Mathematical Linguistics / Issue 2/2022
Print ISSN: 0005-1055
Electronic ISSN: 1934-8371
DOI: https://doi.org/10.3103/S0005105522020078

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Loss of Scientific Knowledge As a Consequence of Publication Requirements

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