-
2
-
-
80052688165
-
Inactive learning? Difficulties employing active learning in practice
-
J. Attenberg and F. Provost. Inactive Learning? Difficulties Employing Active Learning in Practice. SIGKDD Explorations, 12(2):36-41, 2010.
-
(2010)
SIGKDD Explorations
, vol.12
, Issue.2
, pp. 36-41
-
-
Attenberg, J.1
Provost, F.2
-
3
-
-
79952403428
-
Why label when you can search? Strategies for applying human resources to build classification models under extreme class imbalance
-
J. Attenberg and F. Provost. Why label when you can search? Strategies for applying human resources to build classification models under extreme class imbalance. In KDD, 2010.
-
(2010)
KDD
-
-
Attenberg, J.1
Provost, F.2
-
5
-
-
33745738567
-
Worst-case analysis of selective sampling for linear classification
-
N. C. Bianchi, C. Gentile, and L. Zaniboni. Worst-case analysis of selective sampling for linear classification. In J. Mach. Learn. Res., volume 7, pages 1205-1230, 2006. (Pubitemid 44015299)
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 1205-1230
-
-
Cesa-Bianchi, N.1
Gentile, C.2
Zaniboni, L.3
-
7
-
-
72449142164
-
Reect and correct: A misclassification prediction approach to active inference
-
December
-
M. Bilgic and L. Getoor. Reect and correct: A misclassification prediction approach to active inference. ACM Trans. Knowl. Discov. Data, 3, December 2009.
-
(2009)
ACM Trans. Knowl. Discov. Data
, vol.3
-
-
Bilgic, M.1
Getoor, L.2
-
8
-
-
80052684073
-
Active inference for collective classification
-
M. Bilgic and L. Getoor. Active Inference for Collective Classification. In AAAI, 2010.
-
(2010)
AAAI
-
-
Bilgic, M.1
Getoor, L.2
-
9
-
-
0014710323
-
On optimum recognition error and reject tradeoff
-
January
-
C. Chow. On optimum recognition error and reject tradeoff. IEEE Transactions on Information Theory, 16(1):41-46, January 1970.
-
(1970)
IEEE Transactions on Information Theory
, vol.16
, Issue.1
, pp. 41-46
-
-
Chow, C.1
-
10
-
-
84937744538
-
An optimum character recognition system using decision functions
-
December
-
C. K. Chow. An Optimum Character Recognition System Using Decision Functions. IEEE Transactions on Electronic Computers, (4):247-254, December 1957.
-
(1957)
IEEE Transactions on Electronic Computers
, Issue.4
, pp. 247-254
-
-
Chow, C.K.1
-
11
-
-
0025750735
-
A comparison of the enhanced Good-Turing and deleted estimation methods for estimating probabilities of English bigrams
-
January
-
K. Church and W. Gale. A comparison of the enhanced Good-Turing and deleted estimation methods for estimating probabilities of English bigrams. Computer Speech & Language, 5(1):19-54, January 1991.
-
(1991)
Computer Speech & Language
, vol.5
, Issue.1
, pp. 19-54
-
-
Church, K.1
Gale, W.2
-
12
-
-
0033650817
-
Topical locality in the web
-
New York, NY, USA, ACM
-
B. D. Davison. Topical locality in the web. In Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval, SIGIR'00, pages 272-279, New York, NY, USA, 2000. ACM.
-
(2000)
Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'00
, pp. 272-279
-
-
Davison, B.D.1
-
13
-
-
70350681833
-
Efficiently learning the accuracy of labeling sources for selective sampling
-
New York, NY, USA, ACM
-
P. Donmez, J. G. Carbonell, and J. Schneider. Efficiently learning the accuracy of labeling sources for selective sampling. In Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD'09, pages 259-268, New York, NY, USA, 2009. ACM.
-
(2009)
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD'09
, pp. 259-268
-
-
Donmez, P.1
Carbonell, J.G.2
Schneider, J.3
-
14
-
-
84867577175
-
The foundations of cost-sensitive learning
-
C. Elkan. The Foundations of Cost-Sensitive Learning. In IJCAI, pages 973-978, 2001.
-
(2001)
IJCAI
, pp. 973-978
-
-
Elkan, C.1
-
18
-
-
0002348293
-
The number of new species, and the increase in population coverage, when a sample is increased
-
June
-
I. J. Good and G. H. Toulmin. The number of new species, and the increase in population coverage, when a sample is increased. Biometrika, 43(1-2):45-63, June 1956.
-
(1956)
Biometrika
, vol.43
, Issue.1-2
, pp. 45-63
-
-
Good, I.J.1
Toulmin, G.H.2
-
20
-
-
33847697675
-
Classification with reject option
-
R. Herbei and M. H. Wegkamp. Classification with reject option. Can J Statistics, 34(4):709-721, 2006.
-
(2006)
Can J Statistics
, vol.34
, Issue.4
, pp. 709-721
-
-
Herbei, R.1
Wegkamp, M.H.2
-
21
-
-
14344265134
-
Active learning using pre-clustering
-
H. T. Nguyen and A. Smeulders. Active learning using pre-clustering. In ICML, 2004.
-
(2004)
ICML
-
-
Nguyen, H.T.1
Smeulders, A.2
-
23
-
-
34247507155
-
Decision-Centric active learning of Binary-Outcome models
-
Mar
-
M. Saar-Tsechansky and F. Provost. Decision-Centric active learning of Binary-Outcome models. INFORMATION SYSTEMS RESEARCH, 18(1):4-22, Mar. 2007.
-
(2007)
Information Systems Research
, vol.18
, Issue.1
, pp. 4-22
-
-
Saar-Tsechansky, M.1
Provost, F.2
-
24
-
-
84904806792
-
Online active learning methods for fast label-efficient spam filtering
-
D. Sculley. Online active learning methods for fast label-efficient spam filtering. In Fourth Conf. on Email and AntiSpam, 2007.
-
(2007)
Fourth Conf. on Email and AntiSpam
-
-
Sculley, D.1
-
25
-
-
68949137209
-
Active learning literature survey
-
University of Wisconsin-Madison
-
B. Settles. Active learning literature survey. Computer Sciences Technical Report 1648, University of Wisconsin-Madison, 2009.
-
(2009)
Computer Sciences Technical Report 1648
-
-
Settles, B.1
-
26
-
-
80053375448
-
An analysis of active learning strategies for sequence labeling tasks
-
Stroudsburg, PA, USA, Association for Computational Linguistics
-
B. Settles and M. Craven. An analysis of active learning strategies for sequence labeling tasks. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, EMNLP'08, pages 1070-1079, Stroudsburg, PA, USA, 2008. Association for Computational Linguistics.
-
(2008)
Proceedings of the Conference on Empirical Methods in Natural Language Processing, EMNLP'08
, pp. 1070-1079
-
-
Settles, B.1
Craven, M.2
-
27
-
-
65449144451
-
Get another label? improving data quality and data mining using multiple, noisy labelers
-
V. S. Sheng, F. Provost, and P. G. Ipeirotis. Get another label? improving data quality and data mining using multiple, noisy labelers. In KDD'08, 2008.
-
(2008)
KDD'08
-
-
Sheng, V.S.1
Provost, F.2
Ipeirotis, P.G.3
-
28
-
-
71149087699
-
Feature hashing for large scale multitask learning
-
K. Weinberger, A. Dasgupta, J. Attenberg, J. Langford, and A. Smola. Feature hashing for large scale multitask learning. In ICML'09, 2009.
-
(2009)
ICML'09
-
-
Weinberger, K.1
Dasgupta, A.2
Attenberg, J.3
Langford, J.4
Smola, A.5
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