-
1
-
-
85162055266
-
The multidimensional wisdom of crowds
-
P. Welinder, S. Branson, S. Belongie, and P. Perona, "The multidimensional wisdom of crowds," Adv. Neural Inf. Process. Syst., vol. 6, no. 7, p. 8, 2010.
-
(2010)
Adv. Neural Inf. Process. Syst.
, vol.6
, Issue.7
, pp. 8
-
-
Welinder, P.1
Branson, S.2
Belongie, S.3
Perona, P.4
-
4
-
-
11244327782
-
Freeriding and whitewashing in peer-to-peer systems
-
M. Feldman, C. Papadimitriou, J. Chuang, and I. Stoica, "Freeriding and whitewashing in peer-to-peer systems," in Proc. ACM SIGCOMM Workshop Practice Theory Incentives Netw. Syst., 2004, pp. 228-236.
-
Proc. ACM SIGCOMM Workshop Practice Theory Incentives Netw. Syst., 2004
, pp. 228-236
-
-
Feldman, M.1
Papadimitriou, C.2
Chuang, J.3
Stoica, I.4
-
5
-
-
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," Appl. Statist., vol. 28, pp. 20-28, 1979.
-
(1979)
Appl. Statist.
, vol.28
, pp. 20-28
-
-
Dawid, A.1
Skene, A.2
-
6
-
-
85162483531
-
Iterative learning for reliable crowdsourcing systems
-
D. Karger, S. Oh, and D. Shah, "Iterative learning for reliable crowdsourcing systems," in Proc. Adv. Neural Inf. Process. Syst., 2011, pp. 1953-1961.
-
Proc. Adv. Neural Inf. Process. Syst., 2011
, pp. 1953-1961
-
-
Karger, D.1
Oh, S.2
Shah, D.3
-
8
-
-
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," J. Mach. Learn. Res., vol. 13, pp. 491-518, 2012.
-
(2012)
J. Mach. Learn. Res.
, vol.13
, pp. 491-518
-
-
Raykar, V.C.1
Yu, S.2
-
9
-
-
18244387717
-
The EM algorithman old folk-song sung to a fast new tune
-
X. L. Meng and D. Van Dyk, "The EM algorithman old folk-song sung to a fast new tune," J. Roy. Statist. Soc.: Series B (Statist. Methodol.), vol. 59, no. 3, pp. 511-567, 1997.
-
(1997)
J. Roy. Statist. Soc.: Series B (Statist. Methodol.)
, vol.59
, Issue.3
, pp. 511-567
-
-
Meng, X.L.1
Van Dyk, D.2
-
10
-
-
0002629270
-
Maximum likelihood from incomplete data via the EM algorithm
-
A. Dempster, N. Laird, and D. Rubin, "Maximum likelihood from incomplete data via the EM algorithm," J. Royal Statist. Soc. Series B (Methodol.), vol. 39, pp. 1-38, 1977.
-
(1977)
J. Royal Statist. Soc. Series B (Methodol.)
, vol.39
, pp. 1-38
-
-
Dempster, A.1
Laird, N.2
Rubin, D.3
-
11
-
-
84887747830
-
UCI Machine Learning repository
-
California, Irvine, CA, USA
-
K. Bache and M. Lichman, "UCI machine learning repository,"SchoolInf. Comput. Sci., Univ. California, Irvine, CA, USA, 2013.
-
(2013)
SchoolInf. Comput. Sci., Univ
-
-
Bache, K.1
Lichman, M.2
-
12
-
-
77951951247
-
Whose vote should count more: Optimal integration of labels from labelers of unknown expertise
-
J. Whitehill, P. Ruvolo, T. Wu, J. Bergsma, and J. Movellan, "Whose vote should count more: Optimal integration of labels from labelers of unknown expertise," Adv. Neural Inf. Process. Syst., vol. 22, pp. 2035-2043, 2009.
-
(2009)
Adv. Neural Inf. Process. Syst.
, vol.22
, pp. 2035-2043
-
-
Whitehill, J.1
Ruvolo, P.2
Wu, T.3
Bergsma, J.4
Movellan, J.5
-
13
-
-
33645283097
-
Unsupervised learning of parsimonious mixtures on large spaces with integrated feature and component selection
-
Apr.
-
M. W. Graham, and D. J. Miller, "Unsupervised learning of parsimonious mixtures on large spaces with integrated feature and component selection," IEEE Trans. Signal Process., vol. 54, no. 4, pp. 1289-1303, Apr. 2006.
-
(2006)
IEEE Trans. Signal Process.
, vol.54
, Issue.4
, pp. 1289-1303
-
-
Graham, M.W.1
Miller, D.J.2
-
14
-
-
0002210265
-
On the convergence properties of the EM algorithm
-
C. Wu, "On the convergence properties of the EM algorithm,"Ann. Statist., vol. 11, no. 1, pp. 95-103, 1983.
-
(1983)
Ann. Statist.
, vol.11
, Issue.1
, pp. 95-103
-
-
Wu, C.1
-
16
-
-
84880241088
-
Efficient crowdsourcing for multiclass labeling
-
D. Karger, S. Oh, and D. Shah, "Efficient crowdsourcing for multiclass labeling," in Proc. ACM SIGMETRICS Int. Conf. Meas. Model. Comput. Syst., 2013, pp. 81-92.
-
Proc. ACM SIGMETRICS Int. Conf. Meas. Model. Comput. Syst., 2013
, pp. 81-92
-
-
Karger, D.1
Oh, S.2
Shah, D.3
-
17
-
-
0025448521
-
The strength of weak learnability
-
R. E. Schapire, "The strength of weak learnability," Mach. Learn., vol. 5, no. 2, pp. 197-227, 1990.
-
(1990)
Mach. Learn.
, vol.5
, Issue.2
, pp. 197-227
-
-
Schapire, R.E.1
-
18
-
-
84859449983
-
MULTIBOOST: A multi-purpose boosting package
-
D. Benbouzid, R. Busa-Fekete, N. Casagrande, F. Collin, and B. Kégl, "MULTIBOOST: A multi-purpose boosting package," J. Mach. Learn. Res., vol. 13, pp. 549-553, 2012.
-
(2012)
J. Mach. Learn. Res.
, vol.13
, pp. 549-553
-
-
Benbouzid, D.1
Busa-Fekete, R.2
Casagrande, N.3
Collin, F.4
Kégl, B.5
-
19
-
-
33750685685
-
A multilingual named entity recognition system using boosting and c4. 5 decision tree learning algorithms
-
G. Szarvas, R. Farkas, and A. Kocsor, "A multilingual named entity recognition system using boosting and c4. 5 decision tree learning algorithms," in Proc. 9th Int. Conf. Discovery Sci., 2006, pp. 267-278.
-
Proc. 9th Int. Conf. Discovery Sci., 2006
, pp. 267-278
-
-
Szarvas, G.1
Farkas, R.2
Kocsor, A.3
-
20
-
-
77951954464
-
Learning from crowds
-
V. Raykar, S. Yu, L. Zhao, G. Valadez, C. Florin, L. Bogoni, and L. Moy, "Learning from crowds," J. Mach. Learn. Res., vol. 11, pp. 1297-1322, 2010.
-
(2010)
J. Mach. Learn. Res.
, vol.11
, pp. 1297-1322
-
-
Raykar, V.1
Yu, S.2
Zhao, L.3
Valadez, G.4
Florin, C.5
Bogoni, L.6
Moy, L.7
-
22
-
-
85153964878
-
Inferring ground truth from subjective labelling of venus images
-
P. Smyth, U. Fayyad, M. Burl, P. Perona, and P. Baldi, "Inferring ground truth from subjective labelling of venus images," in Proc. Adv. Neural Inf. Process. Syst., 1995, pp. 1085-1092.
-
Proc. Adv. Neural Inf. Process. Syst., 1995
, pp. 1085-1092
-
-
Smyth, P.1
Fayyad, U.2
Burl, M.3
Perona, P.4
Baldi, P.5
-
24
-
-
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. Adv. Neural Inf. Process. Syst., 2012, pp. 2204-2212.
-
Proc. Adv. Neural Inf. Process. Syst., 2012
, pp. 2204-2212
-
-
Zhou, D.1
Platt, J.2
Basu, S.3
Mao, Y.4
-
25
-
-
79959638956
-
Who moderates the moderators?: Crowdsourcing abuse detection in user-generated content
-
A. Ghosh, S. Kale, and P. McAfee, "Who moderates the moderators?: Crowdsourcing abuse detection in user-generated content,"in Proc. 12th ACM Conf. Electron. Commerce, 2011, pp. 167-176.
-
Proc. 12th ACM Conf. Electron. Commerce, 2011
-
-
Ghosh, A.1
Kale, S.2
McAfee, P.3
-
26
-
-
77956245055
-
Quality management on amazon mechanical turk
-
P. G. Ipeirotis, F. Provost, and J. Wang, "Quality management on amazon mechanical turk," in Proc. ACM SIGKDD Workshop Human Comput., 2010, pp. 64-67.
-
Proc. ACM SIGKDD Workshop Human Comput., 2010
, pp. 64-67
-
-
Ipeirotis, P.G.1
Provost, F.2
Wang, J.3
-
27
-
-
84856118112
-
Budget-optimal crowdsourcing using low-rank matrix approximations
-
D. R. Karger, S. Oh, and D. Shah, "Budget-optimal crowdsourcing using low-rank matrix approximations," in Proc. 49th IEEE Annu. Allerton Conf. Commun., Control, Comput., 2011, pp. 284-291.
-
Proc. 49th IEEE Annu. Allerton Conf. Commun., Control, Comput., 2011
, pp. 284-291
-
-
Karger, D.R.1
Oh, S.2
Shah, D.3
-
28
-
-
0000038794
-
Locally optimal block quantizer design
-
R. M. Gray, J. C. Kieffer, and Y. Linde, "Locally optimal block quantizer design," Inf. Control, vol. 45, no. 2, pp. 178-198, 1980.
-
(1980)
Inf. Control
, vol.45
, Issue.2
, pp. 178-198
-
-
Gray, R.M.1
Kieffer, J.C.2
Linde, Y.3
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