146 search results - page 6 / 30 » Learning to rank with multiple objective functions |
KDD
2008
ACM
15 years 10 months ago
2008
ACM
Learning to rank from relevance judgment is an active research area. Itemwise score regression, pairwise preference satisfaction, and listwise structured learning are the major te...
VLDB
1997
ACM
15 years 1 months ago
1997
ACM
Many sources on the Internet and elsewhere rank the objects in query results according to how well these objects match the original query. For example, a real-estate agent might r...
ICML
2004
IEEE
15 years 3 months ago
2004
IEEE
This paper introduces RankOpt, a linear binary classifier which optimises the area under the ROC curve (the AUC). Unlike standard binary classifiers, RankOpt adopts the AUC stat...
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...
ICRA
2009
IEEE
15 years 4 months ago
2009
IEEE
— We propose a learning algorithm for estimating the 3-D orientation of objects. Orientation learning is a difficult problem because the space of orientations is non-Euclidean, ...