-
2
-
-
84979715754
-
A hierarchical Bayesian model of crowdsourced relevance coding
-
B. Carpenter. A hierarchical Bayesian model of crowdsourced relevance coding. In Prof. 12th TREC, 2011.
-
(2011)
Prof. 12th TREC
-
-
Carpenter, B.1
-
3
-
-
0003102944
-
Maximum likelihood estimation of observer error-rates using the em algorithm
-
A. Dawid and A. Skene. Maximum likelihood estimation of observer error-rates using the EM algorithm. Applied Statistics, pages 20-28, 1979.
-
(1979)
Applied Statistics
, pp. 20-28
-
-
Dawid, A.1
Skene, A.2
-
4
-
-
84867409394
-
Vox populi: Collecting high-quality labels from a crowd
-
O. Dekel and O. Shamir. Vox populi: Collecting high-quality labels from a crowd. In Proc. 22nd COLT, 2009.
-
(2009)
Proc. 22nd COLT
-
-
Dekel, O.1
Shamir, O.2
-
5
-
-
79959638956
-
Who moderates the moderators?: Crowdsourcing abuse detection in user-generated content
-
A. Ghosh, S. Kale, and R. P. McAfee. Who moderates the moderators?: Crowdsourcing abuse detection in user-generated content. In Proc. 12th EC, pages 167-176, 2011.
-
(2011)
Proc. 12th EC
, pp. 167-176
-
-
Ghosh, A.1
Kale, S.2
McAfee, R.P.3
-
6
-
-
84860868169
-
Crowdsourcing with endogenous entry
-
A. Ghosh and R. P. McAfee. Crowdsourcing with endogenous entry. In Proc. 21st WWW, pages 999-1008, 2012.
-
(2012)
Proc. 21st WWW
, pp. 999-1008
-
-
Ghosh, A.1
McAfee, R.P.2
-
7
-
-
84856269683
-
Low-rank matrix approximation with weights or missing data is NP-hard
-
N. Gillis and F. Glineur. Low-rank matrix approximation with weights or missing data is NP-hard. SIAM J. Matrix Analysis Applications, 32(4):1149-1165, 2011.
-
(2011)
SIAM J. Matrix Analysis Applications
, vol.32
, Issue.4
, pp. 1149-1165
-
-
Gillis, N.1
Glineur, F.2
-
9
-
-
84906997869
-
Incentives for truthful reporting in crowdsourcing
-
E. Kamar and E. Horvitz. Incentives for truthful reporting in crowdsourcing. In AAMAS, pages 1329-1330, 2012.
-
(2012)
AAMAS
, pp. 1329-1330
-
-
Kamar, E.1
Horvitz, E.2
-
10
-
-
85162483531
-
Iterative learning for reliable crowdsourcing systems
-
D. Karger, S. Oh, and D. Shah. Iterative learning for reliable crowdsourcing systems. In Proc. 25th NIPS, pages 1953-1961, 2011.
-
(2011)
Proc. 25th NIPS
, pp. 1953-1961
-
-
Karger, D.1
Oh, S.2
Shah, D.3
-
12
-
-
84875662615
-
The computer is the new sewing machine: Benefits and perils of crowdsourcing
-
P. K. Paritosh, P. Ipeirotis, M. Cooper, and S. Suri. The computer is the new sewing machine: benefits and perils of crowdsourcing. In Proc. 20th WWW (Companion Volume), pages 325-326, 2011.
-
(2011)
Proc. 20th WWW (Companion Volume)
, pp. 325-326
-
-
Paritosh, P.K.1
Ipeirotis, P.2
Cooper, M.3
Suri, S.4
-
13
-
-
84857856268
-
Eliminating spammers and ranking annotators for crowdsourced labeling tasks
-
V. C. Raykar and S. Yu. Eliminating spammers and ranking annotators for crowdsourced labeling tasks. JMLR, 13:491-518, 2012.
-
(2012)
JMLR
, vol.13
, pp. 491-518
-
-
Raykar, V.C.1
Yu, S.2
-
14
-
-
77951954464
-
Learning from crowds
-
V. C. Raykar, S. Yu, L. H. Zhao, G. H. Valadez, C. Florin, L. Bogoni, and L. Moy. Learning from crowds. JMLR, 11:1297-1322, 2010.
-
(2010)
JMLR
, Issue.11
, pp. 1297-1322
-
-
Raykar, V.C.1
Yu, S.2
Zhao, L.H.3
Valadez, G.H.4
Florin, C.5
Bogoni, L.6
Moy, L.7
-
15
-
-
65449144451
-
Get another label? Improving data quality and data mining using multiple, noisy labelers
-
V. Sheng, F. Provost, and P. Ipeirotis. Get another label? Improving data quality and data mining using multiple, noisy labelers. In Proc. 14th KDD, pages 614-622, 2008.
-
(2008)
Proc. 14th KDD
, pp. 614-622
-
-
Sheng, V.1
Provost, F.2
Ipeirotis, P.3
-
16
-
-
80053360508
-
Cheap and fast-but is it good? Evaluating non-expert annotations for natural language tasks
-
R. Snow, B. O'Connor, D. Jurafsky, and A. Y. Ng. Cheap and fast-but is it good? Evaluating non-expert annotations for natural language tasks. In EMNLP, pages 254-263, 2008.
-
(2008)
EMNLP
, pp. 254-263
-
-
Snow, R.1
O'connor, B.2
Jurafsky, D.3
Ng, A.Y.4
-
17
-
-
84864315555
-
User-friendly tail bounds for sums of random matrices
-
J. A. Tropp. User-friendly tail bounds for sums of random matrices. Found. Comput. Math., 12:389-434, 2012.
-
(2012)
Found. Comput. Math.
, vol.12
, pp. 389-434
-
-
Tropp, J.A.1
-
18
-
-
85162055266
-
The multidimensional wisdom of crowds
-
P. Welinder, S. Branson, S. Belongie, and P. Perona. The multidimensional wisdom of crowds. In Proc. 24th NIPS, pages 2424-2432, 2010.
-
(2010)
Proc. 24th NIPS
, pp. 2424-2432
-
-
Welinder, P.1
Branson, S.2
Belongie, S.3
Perona, P.4
-
19
-
-
84877729010
-
Learning from the wisdom of crowds by minimax entropy
-
D. Zhou, J. Platt, S. Basu, and Y. Mao. Learning from the wisdom of crowds by minimax entropy. In Proc. 26th NIPS, pages 2204-2212, 2012.
-
(2012)
Proc. 26th NIPS
, pp. 2204-2212
-
-
Zhou, D.1
Platt, J.2
Basu, S.3
Mao, Y.4
|