395 search results - page 6 / 79 » Learning to rank with partially-labeled data |
103
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KDD
2009
ACM
16 years 6 days ago
2009
ACM
This paper addresses Named Entity Mining (NEM), in which we mine knowledge about named entities such as movies, games, and books from a huge amount of data. NEM is potentially use...
126
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ICCV
2009
IEEE
14 years 9 months ago
2009
IEEE
Multi-label learning is useful in visual object recognition when several objects are present in an image. Conventional approaches implement multi-label learning as a set of binary...
111
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WSDM
2012
ACM
13 years 7 months ago
2012
ACM
Many vertical search tasks such as local search focus on specific domains. The meaning of relevance in these verticals is domain-specific and usually consists of multiple well-d...
ECML
2007
Springer
15 years 5 months ago
2007
Springer
Many applications in information retrieval, natural language processing, data mining, and related fields require a ranking of instances with respect to a specified criteria as op...
119
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AAAI
2012
13 years 2 months ago
2012
Selecting the optimal kernel is an important and difficult challenge in applying kernel methods to pattern recognition. To address this challenge, multiple kernel learning (MKL) ...