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A quality assuring, cost optimal multi-armed bandit mechanism for expertsourcing
Shweta Jain
,
Sujit Gujar
,
Satyanath Bhat
,
Onno Zoeter
&
Y. Narahari
Artificial Intelligence
254 (C):44-63 (
2018
)
@article{Jain2018-JAIAQA,author = {Shweta Jain and Sujit Gujar and Satyanath Bhat and Onno Zoeter and Y. Narahari},doi = {10.1016/j.artint.2017.10.001},journal = {Artificial Intelligence},number = {C},pages = {44--63},title = {A Quality Assuring, Cost Optimal Multi-Armed Bandit Mechanism for Expertsourcing},volume = {254},year = {2018}}
Jain, Shweta ; Gujar, Sujit ; Bhat, Satyanath ; Zoeter, Onno & Narahari, Y. (2018). A quality assuring, cost optimal multi-armed bandit mechanism for expertsourcing. Artificial Intelligence 254 (C):44-63.
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Citations of this work
Ballooning multi-armed bandits.
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,
Shweta Jain
,
Sujit Gujar
&
Y. Narahari
-
2021
-
Artificial Intelligence
296 (C):103485.
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References found in this work
Truthful learning mechanisms for multi-slot sponsored search auctions with externalities.
Nicola Gatti
,
Alessandro Lazaric
,
Marco Rocco
&
Francesco Trovò
-
2015
-
Artificial Intelligence
227 (C):93-139.
Efficient crowdsourcing of unknown experts using bounded multi-armed bandits.
Long Tran-Thanh
,
Sebastian Stein
,
Alex Rogers
&
Nicholas R. Jennings
-
2014
-
Artificial Intelligence
214 (C):89-111.
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