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ICDM
2010
IEEE
228views Data Mining» more  ICDM 2010»
11 years 2 months ago
Active Learning from Multiple Noisy Labelers with Varied Costs
In active learning, where a learning algorithm has to purchase the labels of its training examples, it is often assumed that there is only one labeler available to label examples, ...
Yaling Zheng, Stephen D. Scott, Kun Deng
IJCAI
2003
11 years 6 months ago
Evaluating Classifiers by Means of Test Data with Noisy Labels
Often the most expensive and time-consuming task in building a pattern recognition system is colĀ­ lecting and accurately labeling training and testing data. In this paper, we exp...
Chuck P. Lam, David G. Stork
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