Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning · Barzan MozafariPurnamrita SarkarM. FranklinMichael I. JordanS. Madden. Computer ...
Large-scale Linked Data Integration using Probabilistic Reasoning and Crowdsourcing. ... Scaling up crowd-sourcing to very large datasets: a case for active ...
Scaling up crowd-sourcing to very large datasets: a case for active learning. B Mozafari, P Sarkar, M Franklin, M Jordan, S Madden. Proceedings of the VLDB ...
Apr 2, 2020 · ... Scaling up crowd- sourcing to very large datasets: a case for active learning. Proceedings of the VLDB. Endowment 8(2), 125–136 (2014). 30 ...
Mozafari, Sarkar, Franklin, Jordan, Madden: Scaling up crowd-sourcing to very large datasets: a case for active learning. Presenter: David Hildner / Main ...
Apr 30, 2015 · Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning ... VLDB 2015 (PVLDB Vol. 8, No. 2), Aug. 2015. Tags: active learning ...
May 30, 2021 · ... Scaling up crowd-sourcing to very large datasets: a case for active learning. Proc VLDB Endow 8:125–136. Article Google Scholar. Nguyen AT ...
Papers on Crowdsourced Query Processing - SFU Computing Science
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Dec 2, 2014 · Jordan, Samuel Madden, Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning ... Learning, Rules, and Crowdsourcing ...
Feb 15, 2020 · In most cases, large quantity of labeled data ... et al. Scaling up crowd-sourcing to very large datasets: A case for active learning ...
main experts and crowd workers to use as training data. The hope is ... Scaling up crowd-sourcing to very large datasets: A case for active learning ...