513 search results - page 13 / 103 » Learning Models for Ranking Aggregates |
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ICANN
2003
Springer
15 years 2 months ago
2003
Springer
Combining machine learning models is a means of improving overall accuracy.Various algorithms have been proposed to create aggregate models from other models, and two popular examp...
ECAI
2006
Springer
15 years 1 months ago
2006
Springer
Label ranking studies the problem of learning a mapping from instances to rankings over a predefined set of labels. Hitherto existing approaches to label ranking implicitly operate...
NIPS
2003
14 years 11 months ago
2003
Label ranking is the task of inferring a total order over a predefined set of labels for each given instance. We present a general framework for batch learning of label ranking f...
ENGL
2007
14 years 9 months ago
2007
An uncertainty model for an expensive function greatly improves the effectiveness of a design decision based on the use of a less accurate function. In this paper, we propose a met...
JMLR
2010
14 years 4 months ago
2010
This paper aims to tackle the very interesting and important problem of user personalized ranking of search results. The focus is on news retrieval and the data from which the ran...