286 search results - page 10 / 58 » Learning to Classify Texts Using Positive and Unlabeled Data |
FLAIRS
2004
13 years 10 months ago
2004
Using unlabeled data to help supervised learning has become an increasingly attractive methodology and proven to be effective in many applications. This paper applies semi-supervi...
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
Current methods for learning visual categories work well when a large amount of labeled data is available, but can run into severe difficulties when the number of labeled examples...
EMNLP
2010
13 years 6 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...
IJCAI
2003
13 years 10 months ago
2003
This paper investigates a new approach for training discriminant classifiers when only a small set of labeled data is available together with a large set of unlabeled data. This a...
AAAI
2008
13 years 11 months ago
2008
Multi-category classification of short dialogues is a common task performed by humans. When assigning a question to an expert, a customer service operator tries to classify the cu...