114 search results - page 6 / 23 » The use of unlabeled data to improve supervised learning for... |
AAAI
1998
13 years 8 months ago
1998
In many important text classification problems, acquiring class labels for training documents is costly, while gathering large quantities of unlabeled data is cheap. This paper sh...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
This work proposes a learning method for deep architectures that takes advantage of sequential data, in particular from the temporal coherence that naturally exists in unlabeled v...
AI
2010
Springer
14 years 5 days ago
2010
Springer
This paper presents a supervised machine learning approach for summarizing legal documents. A commercial system for the analysis and summarization of legal documents provided us wi...
NAACL
2007
13 years 8 months ago
2007
We propose a new framework for supervised machine learning. Our goal is to learn from smaller amounts of supervised training data, by collecting a richer kind of training data: an...
ML
2000
ACM
13 years 7 months ago
2000
ACM
This paper shows that the accuracy of learned text classifiers can be improved by augmenting a small number of labeled training documents with a large pool of unlabeled documents. ...