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Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning. from books.google.com
... crowd mining. In: SIGMOD, pp. 589–600. ACM (2014) 3. Chen, X., Bennett, P.N., Collins-Thompson, K., Horvitz, E ... Scaling up crowd-sourcing to very large datasets: a case for active learning. PVLDB 8(2), 125–136 (2014) 19 ...
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
... 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
... 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
... Data Mining and Knowledge Discovery, 1997. 29, 34 Barzan Mozafari, Purnamrita Sarkar, Michael J. Franklin, Michael I. Jordan, and Samuel Madden. Scaling up crowd-sourcing to very large datasets: A case for active learning. PVLDB, 8(2): ...
Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning. from books.google.com
... Learning accurate kinematic control of cable- driven surgical robots using data cleaning and gaussian process regression. In: CASE ... Scaling up crowd-sourcing to very large datasets: a case for active learning. PVLDB 8 (2). Net 2000 ...
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 ...