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A Bayesian Approximation Method for Online Ranking

scientific article published in January 2011
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A Bayesian Approximation Method for Online Ranking

Summary

A Bayesian Approximation Method for Online Ranking is an academic journal article[1].

Key Facts

  • A Bayesian Approximation Method for Online Ranking authored Chih-Jen Lin[2].
  • A Bayesian Approximation Method for Online Ranking's instance of is recorded as academic journal article[3].
  • A Bayesian Approximation Method for Online Ranking's editor is recorded as Thore Graepel[4].
  • A Bayesian Approximation Method for Online Ranking's page is recorded as 267-300[5].
  • A Bayesian Approximation Method for Online Ranking's language of work or name is recorded as English[6].
  • A Bayesian Approximation Method for Online Ranking's issue is recorded as 9[7].
  • A Bayesian Approximation Method for Online Ranking's volume is recorded as 12[8].
  • A Bayesian Approximation Method for Online Ranking's publication date is recorded as +2011-01-00T00:00:00Z[9].
  • A Bayesian Approximation Method for Online Ranking's main subject is recorded as Bayesian statistics[10].
  • A Bayesian Approximation Method for Online Ranking's main subject is recorded as machine learning[11].
  • A Bayesian Approximation Method for Online Ranking's main subject is recorded as rating system[12].
  • A Bayesian Approximation Method for Online Ranking's main subject is recorded as multiplayer game[13].
  • A Bayesian Approximation Method for Online Ranking's work available at URL is recorded as https://jmlr.org/papers/volume12/weng11a/weng11a.pdf[14].
  • A Bayesian Approximation Method for Online Ranking's number of pages is recorded as {'unit': '1', 'amount': '+34'}[15].
  • A Bayesian Approximation Method for Online Ranking's published in is recorded as Journal of Machine Learning Research[16].
  • A Bayesian Approximation Method for Online Ranking's title is recorded as A Bayesian Approximation Method for Online Ranking[17].
  • A Bayesian Approximation Method for Online Ranking's author name string is recorded as Ruby C. Weng[18].
  • A Bayesian Approximation Method for Online Ranking's cites work is recorded as Bayes Factors[19].
  • A Bayesian Approximation Method for Online Ranking's cites work is recorded as Estimation of the Mean of a Multivariate Normal Distribution[20].
  • A Bayesian Approximation Method for Online Ranking's cites work is recorded as A law of comparative judgment[21].
  • A Bayesian Approximation Method for Online Ranking's cites work is recorded as Accurate Approximations for Posterior Moments and Marginal Densities[22].
  • A Bayesian Approximation Method for Online Ranking's cites work is recorded as Die Berechnung der Turnier-Ergebnisse als ein Maximumproblem der Wahrscheinlichkeitsrechnung[23].
  • A Bayesian Approximation Method for Online Ranking's cites work is recorded as Bayesian inference for Plackett-Luce ranking models[24].

Body

Designation and Status

A Bayesian Approximation Method for Online Ranking's instance of is recorded as academic journal article[3].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [3] ↑ . Journal of Machine Learning Research. Retrieved . jmlr.org. Provenance: wikidata.org.
  2. [2] ↑ . Journal of Machine Learning Research. Retrieved . jmlr.org. Provenance: wikidata.org.
  3. [4] ↑ . Journal of Machine Learning Research. Retrieved . jmlr.org. Provenance: wikidata.org.
  4. [5] ↑ . Journal of Machine Learning Research. Retrieved . jmlr.org. Provenance: wikidata.org.
  5. [6] ↑ . wikidata.org.
  6. [7] ↑ . Journal of Machine Learning Research. Retrieved . jmlr.org. Provenance: wikidata.org.
  7. [8] ↑ . Journal of Machine Learning Research. Retrieved . jmlr.org. Provenance: wikidata.org.
  8. [9] ↑ . Journal of Machine Learning Research. Retrieved . jmlr.org. Provenance: wikidata.org.
  9. [10] ↑ . wikidata.org.
  10. [11] ↑ . wikidata.org.
  11. [12] ↑ . wikidata.org.
  12. [13] ↑ . wikidata.org.
  13. [14] ↑ . Journal of Machine Learning Research. Retrieved . jmlr.org. Provenance: wikidata.org.
  14. [15] ↑ . Journal of Machine Learning Research. Retrieved . jmlr.org. Provenance: wikidata.org.
  15. [16] ↑ . Journal of Machine Learning Research. Retrieved . jmlr.org. Provenance: wikidata.org.
  16. [17] ↑ . Journal of Machine Learning Research. Retrieved . jmlr.org. Provenance: wikidata.org.
  17. [18] ↑ . Journal of Machine Learning Research. Retrieved . jmlr.org. Provenance: wikidata.org.
  18. [19] ↑ . Journal of Machine Learning Research. Retrieved . jmlr.org. Provenance: wikidata.org.
  19. [20] ↑ . Journal of Machine Learning Research. Retrieved . jmlr.org. Provenance: wikidata.org.
  20. [21] ↑ . Journal of Machine Learning Research. Retrieved . jmlr.org. Provenance: wikidata.org.
  21. [22] ↑ . Journal of Machine Learning Research. Retrieved . jmlr.org. Provenance: wikidata.org.
  22. [23] ↑ . Journal of Machine Learning Research. Retrieved . jmlr.org. Provenance: wikidata.org.
  23. [24] ↑ . Journal of Machine Learning Research. Retrieved . jmlr.org. Provenance: wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). A Bayesian Approximation Method for Online Ranking. Retrieved May 3, 2026, from https://4ort.xyz/entity/a-bayesian-approximation-method-for-online-ranking
MLA “A Bayesian Approximation Method for Online Ranking.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/a-bayesian-approximation-method-for-online-ranking.
BibTeX @misc{4ortxyz_a-bayesian-approximation-method-for-online-ranking_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Bayesian Approximation Method for Online Ranking}}, year = {2026}, url = {https://4ort.xyz/entity/a-bayesian-approximation-method-for-online-ranking}, note = {Accessed: 2026-05-03}}
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