721 search results - page 2 / 145 » Label Ranking Methods based on the Plackett-Luce Model |
137
Voted
SIGIR
2012
ACM
13 years 2 months ago
2012
ACM
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
84
Voted
ECML
2006
Springer
15 years 3 months ago
2006
Springer
Label ranking studies the problem of learning a mapping from instances to rankings over a predefined set of labels. We approach this setting from a case-based perspective and propo...
123
Voted
ECML
2007
Springer
15 years 1 months ago
2007
Springer
Many problems in areas such as Natural Language Processing, Information Retrieval, or Bioinformatic involve the generic task of sequence labeling. In many cases, the aim is to assi...
107
click to vote
JMLR
2012
13 years 2 months ago
2012
We consider the task of devising large-margin based surrogate losses for the learning to rank problem. In this learning to rank setting, the traditional hinge loss for structured ...
120
Voted
CVPR
2011
IEEE
14 years 8 months ago
2011
IEEE
We propose a novel approach for ranking and retrieval of images based on multi-attribute queries. Existing image retrieval methods train separate classifiers for each word and he...