131 search results - page 15 / 27 » Pairwise Preference Learning and Ranking |
120
Voted
NIPS
2003
15 years 2 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...
105
Voted
PICS
2003
15 years 2 months ago
2003
In studying image quality and image preference it is necessary to collect psychophysical data. A variety of methods are used to arrive at interval scale values which indicate the ...
122
Voted
ECIR
2009
Springer
15 years 9 months ago
2009
Springer
Abstract. Learning ranking functions is crucial for solving many problems, ranging from document retrieval to building recommendation systems based on an individual user’s prefer...
114
Voted
CIKM
2011
Springer
14 years 19 days ago
2011
Springer
Evaluating rankers using implicit feedback, such as clicks on documents in a result list, is an increasingly popular alternative to traditional evaluation methods based on explici...
NIPS
2004
15 years 2 months ago
2004
While clustering is usually an unsupervised operation, there are circumstances in which we believe (with varying degrees of certainty) that items A and B should be assigned to the...