2018 search results - page 62 / 404 » Magnitude-preserving ranking algorithms |
147
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SAC
2008
ACM
15 years 5 months ago
2008
ACM
When developing semantic applications, the construction of ontologies is a crucial part. We are developing a semiautomatic ontology construction approach, OntoCase, relying on ont...
168
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COLING
2010
15 years 1 months ago
2010
Machine-learned ranking techniques automatically learn a complex document ranking function given training data. These techniques have demonstrated the effectiveness and flexibilit...
157
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ECIR
2011
Springer
14 years 9 months ago
2011
Springer
Adaptation techniques based on importance weighting were shown effective for RankSVM and RankNet, viz., each training instance is assigned a target weight denoting its importance ...
202
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ICDE
2012
IEEE
13 years 8 months ago
2012
IEEE
—Outlier mining is a major task in data analysis. Outliers are objects that highly deviate from regular objects in their local neighborhood. Density-based outlier ranking methods...
212
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FOCS
2006
IEEE
16 years 3 days ago
2006
IEEE
A local graph partitioning algorithm finds a cut near a specified starting vertex, with a running time that depends largely on the size of the small side of the cut, rather than...