103 search results - page 6 / 21 » Knowledge transfer for cross domain learning to rank |
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
In this paper, we investigate a new machine learning framework called Online Transfer Learning (OTL) that aims to transfer knowledge from some source domain to an online learning ...
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AIM
2011
14 years 1 months ago
2011
Transfer learning aims to solve new learning problems by extracting and making use of the common knowledge found in related domains. A key element of transfer learning is to ident...
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
Link prediction is a key technique in many applications such as recommender systems, where potential links between users and items need to be predicted. A challenge in link predic...
COLING
2010
14 years 4 months ago
2010
Machine-learned ranking techniques automatically learn a complex document ranking function given training data. These techniques have demonstrated the effectiveness and flexibilit...
AAAI
2008
14 years 12 months ago
2008
Transfer learning addresses the problem of how to utilize plenty of labeled data in a source domain to solve related but different problems in a target domain, even when the train...