161 search results - page 16 / 33 » An Application of Boosting to Graph Classification |
RECOMB
2004
Springer
14 years 7 months ago
2004
Springer
Finding recurring residue packing patterns, or spatial motifs, that characterize protein structural families is an important problem in bioinformatics. To this end, we apply a nov...
ICPR
2008
IEEE
14 years 8 months ago
2008
IEEE
This paper deals with incremental classification and its particular application to invoice classification. An improved version of an already existant incremental neural network ca...
SDM
2010
SIAM
13 years 9 months ago
2010
SIAM
We apply statistical relational learning to a database of criminal and terrorist activity to predict attributes and event outcomes. The database stems from a collection of news ar...
COLING
2008
13 years 9 months ago
2008
Treating classification as seeking minimum cuts in the appropriate graph has proven effective in a number of applications. The power of this approach lies in its ability to incorp...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
We introduce a general formulation, called non-negative graph embedding, for non-negative data decomposition by integrating the characteristics of both intrinsic and penalty graph...