103 search results - page 2 / 21 » Knowledge transfer for cross domain learning to rank |
AUSAI
2008
Springer
14 years 20 days ago
2008
Springer
Traditional text classification algorithms are based on a basic assumption: the training and test data should hold the same distribution. However, this identical distribution assum...
KDD
2009
ACM
14 years 11 months ago
2009
ACM
When labeled examples are limited and difficult to obtain, transfer learning employs knowledge from a source domain to improve learning accuracy in the target domain. However, the...
ATAL
2007
Springer
14 years 5 months ago
2007
Springer
Transfer learning problems are typically framed as leveraging knowledge learned on a source task to improve learning on a related, but different, target task. Current transfer met...
ICDM
2009
IEEE
14 years 5 months ago
2009
IEEE
—Lack of supervision in clustering algorithms often leads to clusters that are not useful or interesting to human reviewers. We investigate if supervision can be automatically tr...
ICDM
2009
IEEE
13 years 8 months ago
2009
IEEE
There are many clustering tasks which are closely related in the real world, e.g. clustering the web pages of different universities. However, existing clustering approaches neglec...