10 search results - page 1 / 2 » Cross domain distribution adaptation via kernel mapping |
KDD
2009
ACM
14 years 5 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...
AAAI
2012
11 years 7 months ago
2012
In this paper, we propose a semi-supervised kernel matching method to address domain adaptation problems where the source distribution substantially differs from the target distri...
TNN
2011
12 years 12 months ago
2011
Domain adaptation solves a learning problem in a target domain by utilizing the training data in a different but related source domain. Intuitively, discovering a good feature rep...
CIKM
2009
Springer
13 years 9 months ago
2009
Springer
Traditional ranking mainly focuses on one type of data source, and effective modeling still relies on a sufficiently large number of labeled or supervised examples. However, in m...
MICRO
2009
IEEE
13 years 11 months ago
2009
IEEE
Heterogeneous multiprocessors are growingly important in the multi-core era due to their potential for high performance and energy efficiency. In order for software to fully real...