18 search results - page 2 / 4 » Semi-supervised feature selection for graph classification |
ICDM
2010
IEEE
13 years 3 months ago
2010
IEEE
Nowadays, the classification of graph data has become an important and active research topic in the last decade, which has a wide variety of real world applications, e.g. drug acti...
KDD
2010
ACM
13 years 3 months ago
2010
ACM
The problem of graph classification has attracted great interest in the last decade. Current research on graph classification assumes the existence of large amounts of labeled tra...
AUSAI
2011
Springer
12 years 5 months ago
2011
Springer
Image feature selection (FS) is an important task which can affect the performance of image classification and recognition. In this paper, we present a feature selection algorithm ...
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 12 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...