812 search results - page 10 / 163 » Preference-based learning to rank |
SDM
2007
SIAM
13 years 8 months ago
2007
SIAM
The problem of combining the ranked preferences of many experts is an old and surprisingly deep problem that has gained renewed importance in many machine learning, data mining, a...
AI
2008
Springer
13 years 7 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 ...
PKDD
2004
Springer
14 years 21 days ago
2004
Springer
A crucial issue for Machine Learning and Data Mining is Feature Selection, selecting the relevant features in order to focus the learning search. A relaxed setting for Feature Sele...
IDA
2005
Springer
14 years 26 days 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...
NIPS
2008
13 years 8 months ago
2008
Ranking is at the heart of many information retrieval applications. Unlike standard regression or classification in which we predict outputs independently, in ranking we are inter...