129 search results - page 6 / 26 » Active learning with extremely sparse labeled examples |
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
Active learning has been proven a reliable strategy to reduce manual efforts in training data labeling. Such strategies incorporate the user as oracle: the classifier selects the m...
ACL
2010
13 years 5 months ago
2010
We investigate active learning methods for Japanese dependency parsing. We propose active learning methods of using partial dependency relations in a given sentence for parsing an...
ICML
2001
IEEE
14 years 8 months ago
2001
IEEE
This paper presents an active learning method that directly optimizes expected future error. This is in contrast to many other popular techniques that instead aim to reduce versio...
SIGMOD
2010
ACM
14 years 12 days ago
2010
ACM
We consider the problem of learning a record matching package (classifier) in an active learning setting. In active learning, the learning algorithm picks the set of examples to ...
ICDM
2006
IEEE
14 years 1 months ago
2006
IEEE
In active learning, a machine learning algorithm is given an unlabeled set of examples U, and is allowed to request labels for a relatively small subset of U to use for training. ...