... 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 ...
... 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 ...
... 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 . 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. 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 ...
... 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 ...
... 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 ...
... datasets . The meanings of marks on the result values are same with that in the Table 1 for synthetic datasets . It shows that our approach has good performance on most of these real datasets . An important observation is that when the ...
... active learning for entity resolution (HeALER). In: Welzer, T., Eder, J., Podgorelec, V., Kamiˇsalic Latific, A ... Scaling up crowdsourcing to very large datasets: a case for active learning. PVLDB 8(2), 125–136 (2014) 15. Nafa, Y ...
... source of inexpensive, yet high-quality, data? Perspect. Psychol. Sci. 6(1), 3–5 (2011) 7. Feyisetan, O., Simperl ... Scaling up crowdsourcing to very large datasets: a case for active learning. Proc. VLDB Endowment 8(2), 125–136 ...