354 search results - page 13 / 71 » Learning classifiers from only positive and unlabeled data |
145
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DASFAA
2008
IEEE
15 years 11 months ago
2008
IEEE
In this paper, we design a local classification algorithm using implicit link analysis, considering the situation that the labeled and unlabeled data are drawn from two different ...
151
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NIPS
2007
15 years 5 months ago
2007
Semi-supervised methods use unlabeled data in addition to labeled data to construct predictors. While existing semi-supervised methods have shown some promising empirical performa...
154
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JMLR
2010
14 years 11 months ago
2010
Estimating the error rates of classifiers or regression models is a fundamental task in machine learning which has thus far been studied exclusively using supervised learning tech...
243
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CIKM
2009
Springer
15 years 11 months ago
2009
Springer
In this paper, we present a semi-supervised learning method for web page classification, leveraging click logs to augment training data by propagating class labels to unlabeled si...
125
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PAKDD
2005
ACM
15 years 10 months ago
2005
ACM
Self-training is a semi-supervised learning algorithm in which a learner keeps on labeling unlabeled examples and retraining itself on an enlarged labeled training set. Since the s...