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142
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ICML
2002
IEEE
16 years 7 months ago
2002
IEEE
We investigate the following problem: Given a set of documents of a particular topic or class ?, and a large set ? of mixed documents that contains documents from class ? and othe...
159
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TREC
2004
15 years 8 months ago
2004
While participating in the HARD track our first question was, what an IR-application should look like that takes into account preference meta-data from the user, without the need ...
187
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ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
Dual supervision refers to the general setting of learning from both labeled examples as well as labeled features. Labeled features are naturally available in tasks such as text c...
156
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
Many applications of supervised learning require good generalization from limited labeled data. In the Bayesian setting, we can try to achieve this goal by using an informative pr...
193
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WWW
2007
ACM
16 years 7 months ago
2007
ACM
Ontology summarization is very important to quick understanding and selection of ontologies. In this paper, we study extractive summarization of ontology. We propose a notion of R...