812 search results - page 48 / 163 » Preference-based learning to rank |
166
Voted
CVPR
2012
IEEE
13 years 2 months ago
2012
IEEE
Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-theart technique...
95
Voted
IAT
2009
IEEE
15 years 7 months ago
2009
IEEE
This paper proposes an automated web site evaluation approach using machine learning to cope with ranking problems. Evaluating web sites is a significant task for web service beca...
89
Voted
COLT
2006
Springer
15 years 4 months ago
2006
Springer
We are interested in supervised ranking with the following twist: our goal is to design algorithms that perform especially well near the top of the ranked list, and are only requir...
116
Voted
FLAIRS
2008
15 years 2 months ago
2008
In this paper, we propose a new methodology based on directed weighted graphs and the TextRank algorithm to automatically induce general-specific noun relations from web corpora f...
99
Voted
ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
Subgroup discovery is the task of identifying the top k patterns in a database with most significant deviation in the distribution of a target attribute Y . Subgroup discovery is ...