812 search results - page 26 / 163 » Preference-based learning to rank |
SEKE
2007
Springer
14 years 3 months ago
2007
Springer
Some machine learning applications are intended to learn properties of data sets where the correct answers are not already known to human users. It is challenging to test such ML ...
ML
2008
ACM
13 years 9 months ago
2008
ACM
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 operat...
COLING
2008
13 years 9 months ago
2008
This paper considers the problem of automatic assessment of local coherence. We present a novel entity-based representation of discourse which is inspired by Centering Theory and ...
SIGIR
2011
ACM
13 years 17 days ago
2011
ACM
Learning to rank represents a category of effective ranking methods for information retrieval. While the primary concern of existing research has been accuracy, learning efficien...
KDD
2008
ACM
14 years 10 months ago
2008
ACM
Learning to rank from relevance judgment is an active research area. Itemwise score regression, pairwise preference satisfaction, and listwise structured learning are the major te...