Loss of Scientific Knowledge As a Consequence of Publication Requirements

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2022-06-21 DOI:10.3103/S0005105522020078
D. V. Vinogradov
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引用次数: 0

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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出版要求造成的科学知识损失
在分析机器学习中贝叶斯方法的现代课程的过程中,我们发现对狄利克雷模型的贝叶斯学习的不一致性存在知识损失。我们对这种失败作了一个特别简单的介绍。忘记已知科学事实现象的原因是科学期刊对出版物的要求发生了变化,即只参考现代出版物(不超过5年)。
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来源期刊
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS COMPUTER SCIENCE, INFORMATION SYSTEMS-
自引率
40.00%
发文量
18
期刊介绍: Automatic Documentation and Mathematical Linguistics  is an international peer reviewed journal that covers all aspects of automation of information processes and systems, as well as algorithms and methods for automatic language analysis. Emphasis is on the practical applications of new technologies and techniques for information analysis and processing.
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