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ML
2008
ACM
134views Machine Learning» more  ML 2008»
14 years 10 months ago
Multilabel classification via calibrated label ranking
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...
Johannes Fürnkranz, Eyke Hüllermeier, En...
WIDM
2005
ACM
15 years 3 months ago
DirectoryRank: ordering pages in web directories
Web Directories are repositories of Web pages organized in a hierarchy of topics and sub-topics. In this paper, we present DirectoryRank, a ranking framework that orders the pages...
Vlassis Krikos, Sofia Stamou, Pavlos Kokosis, Alex...
CIKM
2006
Springer
15 years 1 months ago
Ranking robustness: a novel framework to predict query performance
In this paper, we introduce the notion of ranking robustness, which refers to a property of a ranked list of documents that indicates how stable the ranking is in the presence of ...
Yun Zhou, W. Bruce Croft
IPM
2008
134views more  IPM 2008»
14 years 10 months ago
RSS: A framework enabling ranked search on the semantic web
The semantic web not only contains resources but also includes the heterogeneous relationships among them, which is sharply distinguished from the current web. As the growth of th...
Xiaomin Ning, Hai Jin, Hao Wu
CVPR
2011
IEEE
14 years 6 months ago
Image Ranking and Retrieval Based on Multi-Attribute Queries
We propose a novel approach for ranking and retrieval of images based on multi-attribute queries. Existing image retrieval methods train separate classifiers for each word and he...
Behjat Siddiquie, Rogerio Feris, Larry Davis