79 search results - page 2 / 16 » Active learning of label ranking functions |
IJCAI
2001
13 years 6 months ago
2001
For many supervised learning tasks it is very costly to produce training data with class labels. Active learning acquires data incrementally, at each stage using the model learned...
SIGIR
2008
ACM
13 years 5 months ago
2008
ACM
AI
2008
Springer
13 years 5 months ago
2008
Springer
Preference learning is a challenging problem that involves the prediction of complex structures, such as weak or partial order relations, rather than single values. In the recent ...
IDA
2005
Springer
13 years 11 months ago
2005
Springer
We consider the problem of learning a ranking function, that is a mapping from instances to rankings over a finite number of labels. Our learning method, referred to as ranking by...
ECML
2007
Springer
13 years 11 months ago
2007
Springer
Conventional classification learning allows a classifier to make a one shot decision in order to identify the correct label. However, in many practical applications, the problem ...