교차 엔트로피

ko

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교차 엔트로피

Quality:
2

Cross entropy - in information theory, given two probability distributions, the average number of bits needed to identify an event if the coding scheme is optimized for the ‘wrong’ probability distribution rather than the true distribution. Article "교차 엔트로피" in Korean Wikipedia has 2 points for quality (as of August 1, 2024). The article contains 0 references and 2 sections.

This article has the best quality in English Wikipedia. Also, this article is the most popular in that language version.

Since the creation of article "교차 엔트로피", its content was written by 4 registered users of Korean Wikipedia and edited by 192 registered Wikipedia users in all languages.

The article is cited 2 times in Korean Wikipedia and cited 286 times in all languages.

The highest Authors Interest rank from 2001:

  • Local (Korean): #11733 in May 2019
  • Global: #71151 in November 2023

The highest popularity rank from 2008:

  • Local (Korean): #40684 in July 2022
  • Global: #48409 in November 2018

There are 16 language versions for this article in the WikiRank database (of the considered 55 Wikipedia language editions).

The quality and popularity assessment was based on Wikipédia dumps from August 1, 2024 (including revision history and pageviews for previous years).

The table below shows the language versions of the article with the highest quality.

Languages with the highest quality

#LanguageQuality gradeQuality score
1English (en)
Cross-entropy
33.6072
2Polish (pl)
Entropia krzyżowa
25.1229
3Arabic (ar)
أنتروبيا متقاطعة
19.4047
4Czech (cs)
Křížová entropie
14.5893
5German (de)
Kreuzentropie
14.3188
More...

The following table shows the most popular language versions of the article.

Most popular in all the time

The most popular language versions of the article "교차 엔트로피" in all the time
#LanguagePopularity awardRelative popularity
1English (en)
Cross-entropy
2 975 300
2Japanese (ja)
交差エントロピー
193 033
3Chinese (zh)
交叉熵
173 334
4German (de)
Kreuzentropie
130 577
5Russian (ru)
Перекрёстная энтропия
101 545
More...

The following table shows the language versions of the article with the highest popularity in the last month.

Most popular in July 2024

The most popular language versions of the article "교차 엔트로피" in July 2024
#LanguagePopularity awardRelative popularity
1English (en)
Cross-entropy
24 789
2Chinese (zh)
交叉熵
1 440
3German (de)
Kreuzentropie
1 320
4Japanese (ja)
交差エントロピー
1 145
5Russian (ru)
Перекрёстная энтропия
755
More...

The following table shows the language versions of the article with the highest Authors’ Interest.

The highest AI

Language versions of the article "교차 엔트로피" with the highest Authors Interest (number of authors). Only registered Wikipedia users were taken into account.
#LanguageAI awardRelative AI
1English (en)
Cross-entropy
88
2German (de)
Kreuzentropie
21
3Russian (ru)
Перекрёстная энтропия
12
4Japanese (ja)
交差エントロピー
10
5French (fr)
Entropie croisée
9
More...

The following table shows the language versions of the article with the highest Authors’ Interest in the last month.

The highest AI in July 2024

Language versions of the article "교차 엔트로피" with the highest AI in July 2024
#LanguageAI awardRelative AI
1English (en)
Cross-entropy
2
2Italian (it)
Entropia incrociata
1
3Arabic (ar)
أنتروبيا متقاطعة
0
4Catalan (ca)
Entropia creuada
0
5Czech (cs)
Křížová entropie
0
More...

The following table shows the language versions of the article with the highest number of citations.

The highest CI

Language versions of the article "교차 엔트로피" with the highest Citation Index (CI)
#LanguageCI awardRelative CI
1Japanese (ja)
交差エントロピー
106
2English (en)
Cross-entropy
97
3Ukrainian (uk)
Перехресна ентропія
14
4German (de)
Kreuzentropie
10
5Persian (fa)
آنتروپی متقاطع
9
More...

Scores

Estimated value for Wikipedia:
Korean:
Global:
Popularity in July 2024:
Korean:
Global:
Popularity in all years:
Korean:
Global:
Authors in July 2024:
Korean:
Global:
Registered authors in all years:
Korean:
Global:
Citations:
Korean:
Global:

Quality measures

Interwikis

#LanguageValue
arArabic
أنتروبيا متقاطعة
caCatalan
Entropia creuada
csCzech
Křížová entropie
deGerman
Kreuzentropie
enEnglish
Cross-entropy
esSpanish
Entropía cruzada
faPersian
آنتروپی متقاطع
frFrench
Entropie croisée
itItalian
Entropia incrociata
jaJapanese
交差エントロピー
koKorean
교차 엔트로피
plPolish
Entropia krzyżowa
ptPortuguese
Entropia cruzada
ruRussian
Перекрёстная энтропия
ukUkrainian
Перехресна ентропія
zhChinese
交叉熵

Popularity rank trends

Best Rank Korean:
#40684
07.2022
Global:
#48409
11.2018

AI rank trends

Best Rank Korean:
#11733
05.2019
Global:
#71151
11.2023

Languages comparison

Important global interconnections

Wikipedia readers most often find their way to information on Cross entropy from Wikipedia articles about Kullback–Leibler divergence, Softmax function, Information entropy, Backpropagation and Logistic regression model. Whereas reading the article about Cross entropy people most often go to Wikipedia articles on Kullback–Leibler divergence, Cross-entropy method, Information entropy, Logistic regression model and Information theory.

Cumulative results of quality and popularity of the Wikipedia article

List of Wikipedia articles in different languages (starting with the most popular):

News from 19 March 2025

On 19 March 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: assassination of John F. Kennedy, Adolescence, Elon Musk, Gal Gadot, John F. Kennedy, Incel, Sunita Williams, deaths in 2025, ChatGPT, March 19.

In Korean Wikipedia the most popular articles on that day were: 문화방송, 한국방송공사, 박찬영 (첼리스트), 한국교육방송공사, 김계리, 폭싹 속았수다, 윤송이, 김새론, 김택진, 김수현 (1988년).

About WikiRank

The WikiRank project is intended for automatic relative evaluation of the articles in the various language versions of Wikipedia. At the moment the service allows to compare over 44 million Wikipedia articles in 55 languages. Quality scores of articles are based on Wikipedia dumps from August, 2024. When calculating current popularity and AI of articles data from July 2024 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2023... More information