712 search results - page 3 / 143 » A mixture model for random graphs |
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
Graph-based methods for semi-supervised learning have recently been shown to be promising for combining labeled and unlabeled data in classification problems. However, inference f...
SDM
2008
SIAM
13 years 9 months ago
2008
SIAM
Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
SODA
2008
ACM
13 years 9 months ago
2008
ACM
In the past decades the Gn,p model of random graphs, introduced by Erdos and R
RSA
2006
13 years 7 months ago
2006
Consider the random graph model of Barab
IJKESDP
2010
13 years 6 months ago
2010
— In this paper, several portfolio selection problems with normal mixture distributions including fuzziness are proposed. Until now, many researchers have proposed portfolio mode...