103 search results - page 10 / 21 » Knowledge transfer for cross domain learning to rank |
ICML
2006
IEEE
15 years 12 months ago
2006
IEEE
Many applications of supervised learning require good generalization from limited labeled data. In the Bayesian setting, we can try to achieve this goal by using an informative pr...
124
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ILP
2007
Springer
15 years 5 months ago
2007
Springer
We describe an application of inductive logic programming to transfer learning. Transfer learning is the use of knowledge learned in a source task to improve learning in a related ...
106
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ECCV
2008
Springer
16 years 29 days ago
2008
Springer
Abstract. Building visual recognition models that adapt across different domains is a challenging task for computer vision. While feature-learning machines in the form of hierarchi...
ML
2010
ACM
14 years 9 months ago
2010
ACM
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
76
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ICML
2007
IEEE
15 years 12 months ago
2007
IEEE
Traditional machine learning makes a basic assumption: the training and test data should be under the same distribution. However, in many cases, this identicaldistribution assumpt...