372 search results - page 14 / 75 » Learning to Rank Using an Ensemble of Lambda-Gradient Models |
ACL
2006
13 years 10 months ago
2006
We present a learning framework for structured support vector models in which boosting and bagging methods are used to construct ensemble models. We also propose a selection metho...
SIGIR
2012
ACM
11 years 11 months ago
2012
ACM
We consider the task of suggesting related queries to users after they issue their initial query to a web search engine. We propose a machine learning approach to learn the probab...
ALT
2006
Springer
14 years 6 months ago
2006
Springer
Abstract. We propose a thresholded ensemble model for ordinal regression problems. The model consists of a weighted ensemble of confidence functions and an ordered vector of thres...
IDEAL
2007
Springer
14 years 3 months ago
2007
Springer
The dependence of the classification error on the size of a bagging ensemble can be modeled within the framework of Monte Carlo theory for ensemble learning. These error curves ar...
NAACL
2010
13 years 6 months ago
2010
Previous work on dependency parsing used various kinds of combination models but a systematic analysis and comparison of these approaches is lacking. In this paper we implemented ...