812 search results - page 17 / 163 » Preference-based learning to rank |
ECML
2007
Springer
14 years 3 months ago
2007
Springer
Conventional classification learning allows a classifier to make a one shot decision in order to identify the correct label. However, in many practical applications, the problem ...
ICML
2010
IEEE
13 years 10 months ago
2010
IEEE
This paper introduces two new methods for label ranking based on a probabilistic model of ranking data, called the Plackett-Luce model. The idea of the first method is to use the ...
NIPS
2004
13 years 11 months ago
2004
Many interesting multiclass problems can be cast in the general framework of label ranking defined on a given set of classes. The evaluation for such a ranking is generally given ...
EMNLP
2010
13 years 7 months ago
2010
We present a machine learning approach for the task of ranking previously answered questions in a question repository with respect to their relevance to a new, unanswered referenc...
DEXAW
2010
IEEE
13 years 10 months ago
2010
IEEE
— One of the central issues in Learning to Rank (L2R) for Information Retrieval is to develop algorithms that construct ranking models by directly optimizing evaluation measures ...