92 search results - page 1 / 19 » Log-Linear Models for Label Ranking |
NIPS
2003
13 years 5 months ago
2003
Label ranking is the task of inferring a total order over a predefined set of labels for each given instance. We present a general framework for batch learning of label ranking f...
ICDM
2006
IEEE
13 years 10 months ago
2006
IEEE
— Log-linear models are widely used for labeling feature vectors and graphical models, typically to estimate robust conditional distributions in presence of a large number of pot...
ACL
2006
13 years 6 months ago
2006
When training the parameters for a natural language system, one would prefer to minimize 1-best loss (error) on an evaluation set. Since the error surface for many natural languag...
SIGIR
2012
ACM
11 years 7 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...
EWCBR
2008
Springer
13 years 6 months ago
2008
Springer
In this paper, we introduce a new instance-based approach to the label ranking problem. This approach is based on a probability model on rankings which is known as the Mallows mode...