530 search results - page 19 / 106 » Learning Bounds for Domain Adaptation |
RE
2002
Springer
13 years 8 months ago
2002
Springer
There are many different approaches to elicit requirements each having its strengths and weaknesses. Hence, some approaches may be ore suitable to one domain then another. Moreove...
ALT
2004
Springer
14 years 6 months ago
2004
Springer
When applying aggregating strategies to Prediction with Expert Advice, the learning rate must be adaptively tuned. The natural choice of complexity/current loss renders the analys...
ICALT
2009
IEEE
14 years 6 days ago
2009
IEEE
Nowadays, the Semantic Web technologies are exploited also in the e-learning domain in order to provide personalized and adaptive learning experiences, semantic annotation of lear...
ICML
2008
IEEE
14 years 9 months ago
2008
IEEE
In multiple instance learning (MIL), how the instances determine the bag-labels is an essential issue, both algorithmically and intrinsically. In this paper, we show that the mech...
ICML
2002
IEEE
14 years 9 months ago
2002
IEEE
Multi-view algorithms reduce the amount of required training data by partitioning the domain features into separate subsets or views that are sufficient to learn the target concep...