2960 search results - page 135 / 592 » Learning from Multiple Sources |
ICDCS
2000
IEEE
15 years 2 months ago
2000
IEEE
Despite increasingly distributed internet information sources with diverse storage formats and access-control constraints, most of the end applications (e.g., filters and media p...
EMNLP
2006
14 years 11 months ago
2006
Discriminative learning methods are widely used in natural language processing. These methods work best when their training and test data are drawn from the same distribution. For...
123
Voted
DAGSTUHL
2007
14 years 11 months ago
2007
Abstract Current, data-driven applications have become more dynamic in nature, with the need to respond to events generated from distributed sources or to react to information extr...
DOCENG
2004
ACM
15 years 3 months ago
2004
ACM
We consider the problem of document conversion from the renderingoriented HTML markup into a semantic-oriented XML annotation defined by user-specific DTDs or XML Schema descrip...
AAAI
2008
15 years 13 days ago
2008
Transfer learning addresses the problem of how to utilize plenty of labeled data in a source domain to solve related but different problems in a target domain, even when the train...