1110 search results - page 160 / 222 » An Intelligent Lessons Learned Process |
RECOMB
2010
Springer
15 years 1 months ago
2010
Springer
In this work we consider an inference task that biologists are very good at: deciphering biological processes by bringing together knowledge that has been obtained by experiments u...
124
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WWW
2008
ACM
16 years 16 days ago
2008
ACM
Inferring an appropriate DTD or XML Schema Definition (XSD) for a given collection of XML documents essentially reduces to learning deterministic regular expressions from sets of ...
108
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KDD
2009
ACM
16 years 12 days ago
2009
ACM
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
103
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KDD
2009
ACM
16 years 12 days ago
2009
ACM
Conditional random fields(CRFs) are a class of undirected graphical models which have been widely used for classifying and labeling sequence data. The training of CRFs is typicall...
113
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MM
2006
ACM
15 years 5 months ago
2006
ACM
In many image retrieval applications, the mapping between highlevel semantic concept and low-level features is obtained through a learning process. Traditional approaches often as...