354 search results - page 4 / 71 » Top-k learning to rank: labeling, ranking and evaluation |
WWW
2007
ACM
14 years 6 months ago
2007
ACM
This paper is concerned with rank aggregation, the task of combining the ranking results of individual rankers at meta-search. Previously, rank aggregation was performed mainly by...
PODS
2008
ACM
14 years 6 months ago
2008
ACM
In the rank join problem, we are given a set of relations and a scoring function, and the goal is to return the join results with the top K scores. It is often the case in practic...
ICML
2009
IEEE
14 years 6 months ago
2009
IEEE
Subgroup discovery is the task of identifying the top k patterns in a database with most significant deviation in the distribution of a target attribute Y . Subgroup discovery is ...
ISNN
2009
Springer
14 years 17 days ago
2009
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...
SDM
2012
SIAM
11 years 8 months ago
2012
SIAM
Outlier detection research is currently focusing on the development of new methods and on improving the computation time for these methods. Evaluation however is rather heuristic,...