32 search results - page 4 / 7 » Combining Labeled and Unlabeled Data for MultiClass Text Cat... |
CICLING
2004
Springer
14 years 1 months ago
2004
Springer
When text categorization is applied to complex tasks, it is tedious and expensive to hand-label the large amounts of training data necessary for good performance. In this paper, we...
ICMCS
2005
IEEE
14 years 1 months ago
2005
IEEE
Training a good text detector requires a large amount of labeled data, which can be very expensive to obtain. Cotraining has been shown to be a powerful semi-supervised learning t...
SAC
2004
ACM
14 years 1 months ago
2004
ACM
The importance of text mining stems from the availability of huge volumes of text databases holding a wealth of valuable information that needs to be mined. Text categorization is...
AAAI
2008
13 years 10 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...
NIPS
2001
13 years 9 months ago
2001
To classify a large number of unlabeled examples we combine a limited number of labeled examples with a Markov random walk representation over the unlabeled examples. The random w...