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FINTAL
2006
14 years 8 days ago
Selection Strategies for Multi-label Text Categorization
In multi-label text categorization, determining the final set of classes that will label a given document is not trivial. It implies first to determine whether a class is suitable ...
Arturo Montejo Ráez, Luis Alfonso Ure&ntild...
IJCNN
2007
IEEE
14 years 2 months ago
Preference Learning for Category-Ranking based Interactive Text Categorization
— Category Ranking is a variant of the multi-label classification problem, in which, rather than performing a (hard) assignment to an object of categories from a predefined set...
Fabio Aiolli, Fabrizio Sebastiani, Alessandro Sper...
JASIS
2010
124views more  JASIS 2010»
13 years 7 months ago
Query polyrepresentation for ranking retrieval systems without relevance judgments
Ranking information retrieval (IR) systems with respect to their effectiveness is a crucial operation during IR evaluation, as well as during data fusion. This paper offers a no...
Miles Efron, Megan A. Winget
ML
2010
ACM
185views Machine Learning» more  ML 2010»
13 years 3 months ago
Learning to rank on graphs
Graph representations of data are increasingly common. Such representations arise in a variety of applications, including computational biology, social network analysis, web applic...
Shivani Agarwal
AIRWEB
2006
Springer
14 years 10 days ago
Web Spam Detection with Anti-Trust Rank
Spam pages on the web use various techniques to artificially achieve high rankings in search engine results. Human experts can do a good job of identifying spam pages and pages wh...
Vijay Krishnan, Rashmi Raj