103 search results - page 1 / 21 » Knowledge transfer for cross domain learning to rank |
IR
2010
13 years 3 months ago
2010
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...
PKDD
2010
Springer
13 years 3 months ago
2010
Springer
Abstract. One solution to the lack of label problem is to exploit transfer learning, whereby one acquires knowledge from source-domains to improve the learning performance in the t...
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...
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...