多腕バンディット問題 (Japanese Wikipedia)

Analysis of information sources in references of the Wikipedia article "多腕バンディット問題" in Japanese language version.

refsWebsite

Global rank Japanese rank

4doi.org

2^nd place

6^th place

2harvard.edu

18^th place

107^th place

2nih.gov

4^th place

24^th place

1jstor.org

26^th place

275^th place

1arxiv.org

69^th place

227^th place

1aaai.org

9,352^nd place

low place

1sourceforge.net

1,669^th place

2,149^th place

aaai.org (Global: 9,352^nd place; Japanese: low place)

Shen, Weiwei; Wang, Jun; Jiang, Yu-Gang; Zha, Hongyuan (2015), “Portfolio Choices with Orthogonal Bandit Learning”, Proceedings of International Joint Conferences on Artificial Intelligence (IJCAI2015)

arxiv.org (Global: 69^th place; Japanese: 227^th place)

Brochu, Eric; Hoffman, Matthew W.; de Freitas, Nando (2010-09), Portfolio Allocation for Bayesian Optimization, arXiv:1009.5419, Bibcode: 2010arXiv1009.5419B

doi.org (Global: 2^nd place; Japanese: 6^th place)

Weber, Richard (1992), “On the Gittins index for multiarmed bandits”, Annals of Applied Probability 2 (4): 1024-1033, doi:10.1214/aoap/1177005588, JSTOR 2959678, https://jstor.org/stable/2959678
Press, William H. (2009), “Bandit solutions provide unified ethical models for randomized clinical trials and comparative effectiveness research”, Proceedings of the National Academy of Sciences 106 (52): 22387-22392, Bibcode: 2009PNAS..10622387P, doi:10.1073/pnas.0912378106, PMC 2793317, PMID 20018711.
Farias, Vivek F; Ritesh, Madan (2011), “The irrevocable multiarmed bandit problem”, Operations Research 59 (2): 383-399, doi:10.1287/opre.1100.0891
Peter Whittle (1979), “Discussion of Dr Gittins' paper”, Journal of the Royal Statistical Society, Series B 41 (2): 148-177, doi:10.1111/j.2517-6161.1979.tb01069.x

harvard.edu (Global: 18^th place; Japanese: 107^th place)

ui.adsabs.harvard.edu

Press, William H. (2009), “Bandit solutions provide unified ethical models for randomized clinical trials and comparative effectiveness research”, Proceedings of the National Academy of Sciences 106 (52): 22387-22392, Bibcode: 2009PNAS..10622387P, doi:10.1073/pnas.0912378106, PMC 2793317, PMID 20018711.
Brochu, Eric; Hoffman, Matthew W.; de Freitas, Nando (2010-09), Portfolio Allocation for Bayesian Optimization, arXiv:1009.5419, Bibcode: 2010arXiv1009.5419B

jstor.org (Global: 26^th place; Japanese: 275^th place)

Weber, Richard (1992), “On the Gittins index for multiarmed bandits”, Annals of Applied Probability 2 (4): 1024-1033, doi:10.1214/aoap/1177005588, JSTOR 2959678, https://jstor.org/stable/2959678

nih.gov (Global: 4^th place; Japanese: 24^th place)

pmc.ncbi.nlm.nih.gov

Press, William H. (2009), “Bandit solutions provide unified ethical models for randomized clinical trials and comparative effectiveness research”, Proceedings of the National Academy of Sciences 106 (52): 22387-22392, Bibcode: 2009PNAS..10622387P, doi:10.1073/pnas.0912378106, PMC 2793317, PMID 20018711.

pubmed.ncbi.nlm.nih.gov

Press, William H. (2009), “Bandit solutions provide unified ethical models for randomized clinical trials and comparative effectiveness research”, Proceedings of the National Academy of Sciences 106 (52): 22387-22392, Bibcode: 2009PNAS..10622387P, doi:10.1073/pnas.0912378106, PMC 2793317, PMID 20018711.

sourceforge.net (Global: 1,669^th place; Japanese: 2,149^th place)

bandit.sourceforge.net

Vermorel, Joannes; Mohri, Mehryar (2005), Multi-armed bandit algorithms and empirical evaluation, In European Conference on Machine Learning, Springer, pp. 437-448

多腕バンディット問題 (Japanese Wikipedia)

aaai.org (Global: 9,352nd place; Japanese: low place)

arxiv.org (Global: 69th place; Japanese: 227th place)

doi.org (Global: 2nd place; Japanese: 6th place)

harvard.edu (Global: 18th place; Japanese: 107th place)