372 search results - page 19 / 75 » Learning to Rank Using an Ensemble of Lambda-Gradient Models |
SIGIR
2011
ACM
12 years 10 months ago
2011
ACM
Test collections are the primary drivers of progress in information retrieval. They provide a yardstick for assessing the effectiveness of ranking functions in an automatic, rapi...
ECIR
2011
Springer
12 years 11 months ago
2011
Springer
Abstract. As retrieval systems become more complex, learning to rank approaches are being developed to automatically tune their parameters. Using online learning to rank approaches...
COLT
2005
Springer
14 years 1 months ago
2005
Springer
A general model is proposed for studying ranking problems. We investigate learning methods based on empirical minimization of the natural estimates of the ranking risk. The empiric...
WWW
2008
ACM
14 years 8 months ago
2008
ACM
Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
A critical problem in cluster ensemble research is how to combine multiple clusterings to yield a final superior clustering result. Leveraging advanced graph partitioning techniqu...