510 search results - page 1 / 102 » Cross-Domain Knowledge Transfer Using Structured Representat... |
AAAI
2006
13 years 6 months ago
2006
Previous work in knowledge transfer in machine learning has been restricted to tasks in a single domain. However, evidence from psychology and neuroscience suggests that humans ar...
AUSAI
2008
Springer
13 years 6 months 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...
AIPS
2011
12 years 8 months ago
2011
Applying learning techniques to acquire action models is an area of intense research interest. Most previous works in this area have assumed that there is a significant amount of...
AAAI
2011
12 years 4 months ago
2011
Transfer learning allows knowledge to be extracted from auxiliary domains and be used to enhance learning in a target domain. For transfer learning to be successful, it is critica...
IJCAI
2007
13 years 6 months ago
2007
Learning capabilities of computer systems still lag far behind biological systems. One of the reasons can be seen in the inefficient re-use of control knowledge acquired over the...