Introduction to Extreme Seeking Entropy

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F20%3A39917014" target="_blank" >RIV/00216275:25530/20:39917014 - isvavai.cz</a>

Alternative codes found

RIV/60461373:22340/20:43919058

Result on the web

<a href="https://www.mdpi.com/1099-4300/22/1/93" target="_blank" >https://www.mdpi.com/1099-4300/22/1/93</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/e22010093" target="_blank" >10.3390/e22010093</a>

Result language

angličtina

Original language name

Introduction to Extreme Seeking Entropy

Original language description

Recently, the concept of evaluating an unusually large learning effort of an adaptive system to detect novelties in the observed data was introduced. The present paper introduces a new measure of the learning effort of an adaptive system. The proposed method also uses adaptable parameters. Instead of a multi-scale enhanced approach, the generalized Pareto distribution is employed to estimate the probability of unusual updates, as well as for detecting novelties. This measure was successfully tested in various scenarios with (i) synthetic data, (ii) real time series datasets, and multiple adaptive filters and learning algorithms. The results of these experiments are presented.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Entropy

ISSN

1099-4300

e-ISSN

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Volume of the periodical

22

Issue of the periodical within the volume

1

Country of publishing house

CH - SWITZERLAND

Number of pages

25

Pages from-to

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UT code for WoS article

000516825400084

EID of the result in the Scopus database

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