395 search results - page 34 / 79 » Learning to rank with partially-labeled data |
106
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DIS
2006
Springer
15 years 5 months ago
2006
Springer
In supervised machine learning, variable ranking aims at sorting the input variables according to their relevance w.r.t. an output variable. In this paper, we propose a new relevan...
126
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CIKM
2011
Springer
14 years 1 months ago
2011
Springer
Community QA portals provide an important resource for non-factoid question-answering. The inherent noisiness of user-generated data makes the identification of high-quality cont...
127
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ICDM
2003
IEEE
15 years 7 months ago
2003
IEEE
Predictive data mining typically relies on labeled data without exploiting a much larger amount of available unlabeled data. The goal of this paper is to show that using unlabeled...
129
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CIKM
2009
Springer
15 years 6 months ago
2009
Springer
Traditional ranking mainly focuses on one type of data source, and effective modeling still relies on a sufficiently large number of labeled or supervised examples. However, in m...
125
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KDD
2009
ACM
16 years 2 months ago
2009
ACM
User browsing information, particularly their non-search related activity, reveals important contextual information on the preferences and the intent of web users. In this paper, ...