68 search results - page 1 / 14 » A General Boosting Method and its Application to Learning Ra... |
NIPS
2007
13 years 5 months ago
2007
We present a general boosting method extending functional gradient boosting to optimize complex loss functions that are encountered in many machine learning problems. Our approach...
WWW
2008
ACM
14 years 5 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...
WWW
2011
ACM
12 years 10 months ago
2011
ACM
Web pages are usually highly structured documents. In some documents, content with different functionality is laid out in blocks, some merely supporting the main discourse. In ot...
KDD
2010
ACM
13 years 8 months ago
2010
ACM
In this paper we propose a novel algorithm for multi-task learning with boosted decision trees. We learn several different learning tasks with a joint model, explicitly addressing...
WWW
2008
ACM
14 years 5 months ago
2008
ACM
We consider the problem of ranking refinement, i.e., to improve the accuracy of an existing ranking function with a small set of labeled instances. We are, particularly, intereste...