372 search results - page 14 / 75 » Learning to Rank Using an Ensemble of Lambda-Gradient Models |
114
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ACL
2006
15 years 5 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...
177
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SIGIR
2012
ACM
13 years 6 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...
127
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ALT
2006
Springer
16 years 1 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...
132
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IDEAL
2007
Springer
15 years 10 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...
141
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NAACL
2010
15 years 1 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 ...