395 search results - page 44 / 79 » Learning to rank with partially-labeled data |
126
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CORR
2008
Springer
15 years 2 months ago
2008
Springer
In many fields where human understanding plays a crucial role, such as bioprocesses, the capacity of extracting knowledge from data is of critical importance. Within this framewor...
126
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LWA
2008
15 years 3 months ago
2008
Where Information Retrieval (IR) and Text Categorization delivers a set of (ranked) documents according to a query, users of large document collections would rather like to receiv...
132
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ICCV
2011
IEEE
14 years 1 months ago
2011
IEEE
Human-nameable visual “attributes” can benefit various recognition tasks. However, existing techniques restrict these properties to categorical labels (for example, a person ...
117
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VLDB
1990
ACM
15 years 6 months ago
1990
ACM
A probabilistic learning model for vague queries and missing or imprecise information in databases is described. Instead of retrieving only a set of answers, our approach yields a...
KDD
2006
ACM
16 years 2 months ago
2006
ACM
We study the mining of interesting patterns in the presence of numerical attributes. Instead of the usual discretization methods, we propose the use of rank based measures to scor...