63 search results - page 5 / 13 » Transfer Learning by Reusing Structured Knowledge |
ML
2010
ACM
13 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...
AAAI
2007
14 years 1 months ago
2007
Transfer learning addresses the problem of how to leverage knowledge acquired in a source domain to improve the accuracy and speed of learning in a related target domain. This pap...
CVPR
2012
IEEE
12 years 1 months ago
2012
IEEE
ImageNet is a large-scale database of object classes with millions of images. Unfortunately only a small fraction of them is manually annotated with bounding-boxes. This prevents ...
ICML
2009
IEEE
14 years 11 months ago
2009
IEEE
Standard inductive learning requires that training and test instances come from the same distribution. Transfer learning seeks to remove this restriction. In shallow transfer, tes...
ACL
2009
13 years 8 months ago
2009
Creating labeled training data for relation extraction is expensive. In this paper, we study relation extraction in a special weakly-supervised setting when we have only a few see...