399 search results - page 1 / 80 » A Comparative Study of Methods for Transductive Transfer Lea... |
ICDM
2007
IEEE
13 years 11 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...
ICDM
2009
IEEE
13 years 2 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...
MLDM
2007
Springer
13 years 10 months ago
2007
Springer
Transduction is an inference mechanism “from particular to particular”. Its application to classification tasks implies the use of both labeled (training) data and unlabeled (...
SMC
2007
IEEE
13 years 10 months ago
2007
IEEE
— We consider learning in a transductive setting using instance-based learning (k-NN) and present a method for constructing a data-dependent distance “metric” using both labe...
CIKM
2009
Springer
13 years 11 months ago
2009
Springer
Recently there has been increasing interest in the problem of transfer learning, in which the typical assumption that training and testing data are drawn from identical distributi...