Using the Characteristic of Sample Data Distribution Law in the Machine Learning Tasks

Кіріченко, Л. О.; Кобзєв, В. Г.; Пічугіна, О. С.

Публікація:
Using the Characteristic of Sample Data Distribution Law in the Machine Learning Tasks

dc.contributor.author	Кіріченко, Л. О.
dc.contributor.author	Кобзєв, В. Г.
dc.contributor.author	Пічугіна, О. С.
dc.date.accessioned	2023-06-13T21:39:00Z
dc.date.available	2023-06-13T21:39:00Z
dc.date.issued	2021
dc.description.abstract	The paper introduces a new characteristic of a random variable with a bounded support titled a distribution indicator, defined as the ratio of the squared support length to the random variable variance. It is shown that this characteristic of the whole family of random variables of the same distribution law type. Computer simulation of random time series signals and evaluation of the distribution indicator had demonstrated the possibility of detecting the distribution law of the scries observations by analyzing this characteristic only.
dc.identifier.citation	Kirichenko L. Using the Characteristic of Sample Data Distribution Law in the Machine Learning Tasks / Kirichenko L., Pichugina O., Kobziev V. // Інформаційні системи та технології : зб. праць 10-ої Міжнар. наук.-техн. конф., 13-19 вересня 2021 р. – Харків – Одеса. – Харків : ХНУРЕ, 2021. С. 303–312.
dc.identifier.uri	https://openarchive.nure.ua/handle/document/23379
dc.language.iso	en
dc.publisher	ХНУРЕ
dc.subject	sample random variable
dc.subject	probability distribution
dc.subject	distribution law indicator
dc.subject	time series clustering
dc.title	Using the Characteristic of Sample Data Distribution Law in the Machine Learning Tasks
dc.type	Thesis
dspace.entity.type	Publication