17 search results - page 2 / 4 » Multi-label Feature Selection for Graph Classification |
CIKM
2010
Springer
13 years 2 months ago
2010
Springer
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
CIKM
2009
Springer
13 years 11 months ago
2009
Springer
Subgraph patterns are widely used in graph classification, but their effectiveness is often hampered by large number of patterns or lack of discrimination power among individual p...
CIVR
2008
Springer
13 years 6 months ago
2008
Springer
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
BMCBI
2008
13 years 4 months ago
2008
Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
SIGMOD
2010
ACM
13 years 5 months ago
2010
ACM
Discriminative subgraphs are widely used to define the feature space for graph classification in large graph databases. Several scalable approaches have been proposed to mine disc...