248 search results - page 14 / 50 » Perturbation based Large Margin Approach for Ranking |
CORR
2012
Springer
12 years 3 months ago
2012
Springer
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
EDBT
2004
ACM
14 years 7 months ago
2004
ACM
In recent years, privacy preserving data mining has become an important problem because of the large amount of personal data which is tracked by many business applications. In many...
ICCV
2009
IEEE
13 years 5 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...
COLT
2007
Springer
14 years 1 months ago
2007
Springer
We describe and analyze a new approach for feature ranking in the presence of categorical features with a large number of possible values. It is shown that popular ranking criteria...
KIVS
2005
Springer
14 years 29 days ago
2005
Springer
Abstract. Semantic Web services envision the automated discovery and selection of Web services. This can be realised by adding semantic information to advertised services and servi...