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Efficiently learning the accuracy of labeling sources for selective sampling
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Authors:
Pinar Donmez
Carnegie Mellon University, Pittsburgh, PA, USA
Jaime G. Carbonell
Carnegie Mellon University, Pittsburgh, PA, USA
Jeff Schneider
Carnegie Mellon University, Pittsburgh, PA, USA
Published in:
· Proceeding
KDD '09
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
ACM
New York, NY
, USA
©2009
table of contents
ISBN: 978-1-60558-495-9
doi>
10.1145/1557019.1557053
2009 Article
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· Downloads (6 Weeks): 10
· Downloads (12 Months): 157
· Citation Count: 9
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Upcoming Conference:
KDD '12
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Tags:
active learning
algorithms
classifier design and evaluation
data mining
design
estimation
experimentation
labeler selection
measurement
noisy labelers
performance
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