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Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning. from books.google.com
... crowd. PVLDB 17. 18. 19. 20. 21. von Ahn, L., Dabbish, L.: ESP: labeling images with a computer game. In: AAAI, pp. 91–98 ... Scaling up crowd-sourcing to very large datasets: a case for active learning. PVLDB 8(2), 125–136 (2014) ...
Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning. from books.google.com
... Scaling up crowd-sourcing to very large datasets: A case for active learning. PVLDB, 8(2):125–136, 2014. DOI: 10.14778/2735471.2735474 63 [186] Andrew Ng. Machine Learning Yearning. mlyearning.org, 2019. 87 [187] Jakob Nielsen ...
Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning. from books.google.com
... active learning of record matching packages. In: ACM SIGMOD, Indianapolis, pp. 783–794 (2010) 2. Bellare, K ... Large-scale data pollution with apache spark. IEEE Trans. Big Data 1 (2017). https://doi.org/10.1109/TBDATA ...
Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning. from books.google.com
... Scaling up crowd- sourcing to very large datasets : a case for active learning . VLDB Endow . 8 ( 2 ) , 125-136 ( 2014 ) 20. Nafa , Y. , et al .: Active deep learning on entity resolution by ... source EM Tasks on Active Learning 129.
Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning. from books.google.com
... Learning ( ICML ) , pp . 567-574 ( 2012 ) 39. Mozafari , B. , Sarkar , P. , Franklin , M. , Jordan , M. , Madden , S .: Scaling up crowd- sourcing to very large datasets : a case for active learning . Proc . VLDB Endowment 8 ( 2 ) ...
Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning. from books.google.com
... datasets . In : ACM SIGMOD , pp . 795–806 ( 2016 ) 9. Hung , N.Q.V. , Thang , D.C. , Weidlich , M. , Aberer , K .: Minimizing efforts in vali- dating crowd ... 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. from books.google.com
... Scaling up crowd - sourcing to very large datasets : a case for active learning . Proc . VLDB Endow . ( PVLDB ) 8 ( 2 ) , 125-136 ( 2014 ) 17. Nickel , M. , Rosasco , L. , Poggio , T .: Holographic embeddings of knowledge graphs . In ...
Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning. from books.google.com
... Scaling up crowd-sourcing to very large datasets: a case for active learning. PVLDB 8 (2). Net 2000 Ltd., 2010. Data Sanitization Techniques. A Net 2000 Ltd. White Paper. http://www. DataMasker.com. Nortel Networks, July 2002. Net ...
Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning. from books.google.com
... Scaling up crowd-sourcing to very large datasets: A case for active learning. PVLDB, 8(2):125–136, 2014. DOI: 10.14778/2735471.2735474 33, 109 Sidharth Mudgal, Han Li, Theodoros Rekatsinas, AnHai Doan, Youngchoon Park, Ganesh Krishnan ...
Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning. from books.google.com
... active visual category learning. Int. J. Comput. Vis. 91(1), 24–44 (2011) 17. Pak, A., Paroubek, P.: Twitter as a ... crowd. Proc. VLDB Endowment 6(2), 109–120 (2012) 19. Franklin, M.J., Kossmann, D., Kraska, T., Ramesh, S., Xin, R ...