109 search results - page 6 / 22 » A two-stage approach to domain adaptation for statistical cl... |
ECCV
2002
Springer
14 years 10 months ago
2002
Springer
Numerous statistical learning methods have been developed for visual recognition tasks. Few attempts, however, have been made to address theoretical issues, and in particular, stud...
BMCBI
2011
13 years 5 days ago
2011
Background: High-throughput functional genomics technologies generate large amount of data with hundreds or thousands of measurements per sample. The number of sample is usually m...
COLING
2008
13 years 10 months ago
2008
In this paper, we focus on the adaptation problem that has a large labeled data in the source domain and a large but unlabeled data in the target domain. Our aim is to learn relia...
AMTA
2004
Springer
14 years 2 months ago
2004
Springer
In conventional word alignment methods, some employ statistical models or statistical measures, which need large-scale bilingual sentencealigned training corpora. Others employ dic...
EMNLP
2010
13 years 6 months ago
2010
Problems stemming from domain adaptation continue to plague the statistical natural language processing community. There has been continuing work trying to find general purpose al...