167 search results - page 10 / 34 » Effective multi-label active learning for text classificatio... |
EMNLP
2010
14 years 7 months ago
2010
This paper studies the effects of training data on binary text classification and postulates that negative training data is not needed and may even be harmful for the task. Tradit...
KDD
2008
ACM
15 years 10 months ago
2008
ACM
: We combine the speed and scalability of information retrieval with the generally superior classification accuracy offered by machine learning, yielding a two-phase text classifie...
103
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ICDM
2003
IEEE
15 years 2 months ago
2003
IEEE
Semi-supervised learning methods construct classifiers using both labeled and unlabeled training data samples. While unlabeled data samples can help to improve the accuracy of trai...
108
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KDD
2009
ACM
15 years 10 months ago
2009
ACM
The explosion of user-generated content on the Web has led to new opportunities and significant challenges for companies, that are increasingly concerned about monitoring the disc...
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
We introduce a novel active learning algorithm for classification of network data. In this setting, training instances are connected by a set of links to form a network, the label...