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» Metric Learning to Rank
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HT
2005
ACM
14 years 3 months ago
Searching a file system using inferred semantic links
We describe Eureka, a file system search engine that takes into account the inherent relationships among files in order to improve the rankings of search results. The key idea b...
Deepavali Bhagwat, Neoklis Polyzotis
PKDD
2004
Springer
155views Data Mining» more  PKDD 2004»
14 years 3 months ago
Ensemble Feature Ranking
A crucial issue for Machine Learning and Data Mining is Feature Selection, selecting the relevant features in order to focus the learning search. A relaxed setting for Feature Sele...
Kees Jong, Jérémie Mary, Antoine Cor...
ACL
2009
13 years 7 months ago
Correlating Human and Automatic Evaluation of a German Surface Realiser
We examine correlations between native speaker judgements on automatically generated German text against automatic evaluation metrics. We look at a number of metrics from the MT a...
Aoife Cahill
ICML
2004
IEEE
14 years 10 months ago
Integrating constraints and metric learning in semi-supervised clustering
Mikhail Bilenko, Sugato Basu, Raymond J. Mooney
IDA
2005
Springer
14 years 3 months ago
Learning Label Preferences: Ranking Error Versus Position Error
We consider the problem of learning a ranking function, that is a mapping from instances to rankings over a finite number of labels. Our learning method, referred to as ranking by...
Eyke Hüllermeier, Johannes Fürnkranz