103 search results - page 9 / 21 » Knowledge transfer for cross domain learning to rank |
TKDE
2010
14 years 9 months ago
2010
—A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same feature space and have the same distribution. How...
82
Voted
CVPR
2010
IEEE
14 years 11 months ago
2010
IEEE
Transfer learning allows leveraging the knowledge of source domains, available a priori, to help training a classifier for a target domain, where the available data is scarce. Th...
PREMI
2005
Springer
15 years 4 months ago
2005
Springer
Pattern recognition methods for complex structured objects such as handwritten characters often have to deal with vast search spaces. Developed techniques, despite significant adv...
IJCAI
2007
15 years 15 days ago
2007
A long-lived agent continually faces new tasks in its environment. Such an agent may be able to use knowledge learned in solving earlier tasks to produce candidate policies for it...
SDM
2007
SIAM
15 years 14 days ago
2007
SIAM
The problem of combining the ranked preferences of many experts is an old and surprisingly deep problem that has gained renewed importance in many machine learning, data mining, a...