131 search results - page 8 / 27 » Pairwise Preference Learning and Ranking |
IJON
2010
13 years 8 months ago
2010
The pairwise approach to multilabel classification reduces the problem to learning and aggregating preference predictions among the possible labels. A key problem is the need to qu...
ICML
2004
IEEE
14 years 4 months ago
2004
IEEE
The effort necessary to construct labeled sets of examples in a supervised learning scenario is often disregarded, though in many applications, it is a time-consuming and expensi...
AAAI
2006
14 years 9 days ago
2006
Voting (or rank aggregation) is a general method for aggregating the preferences of multiple agents. One voting rule of particular interest is the Kemeny rule, which minimizes the...
CHI
2009
ACM
14 years 5 months ago
2009
ACM
Eliciting user preferences for large datasets and creating rankings based on these preferences has many practical applications in community-based sites. This paper gives a new met...
ECML
2006
Springer
14 years 2 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...