750 search results - page 11 / 150 » Learning SVMs from Sloppily Labeled Data |
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. ...
ICDM
2007
IEEE
14 years 2 months ago
2007
IEEE
The problem of transfer learning, where information gained in one learning task is used to improve performance in another related task, is an important new area of research. While...
ACL
2010
13 years 5 months ago
2010
One of the main obstacles to producing high quality joint models is the lack of jointly annotated data. Joint modeling of multiple natural language processing tasks outperforms si...
KES
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. We present a possibly great improvement while performing semisupervised learning tasks from training data sets when only a small fraction of the data pairs is labeled. In...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
We propose a general framework for learning from labeled and unlabeled data on a directed graph in which the structure of the graph including the directionality of the edges is co...