1340 search results - page 253 / 268 » Structure learning of Bayesian networks using constraints |
GG
2004
Springer
14 years 3 days ago
2004
Springer
Graphs are well-known, well-understood, and frequently used means to depict networks of related items. They are successfully used as the underlying mathematical concept in various ...
PLDI
2011
ACM
12 years 9 months ago
2011
ACM
For more than thirty years, the parallel programming community has used the dependence graph as the main abstraction for reasoning about and exploiting parallelism in “regularâ€...
AIPS
2009
13 years 7 months ago
2009
Dynamic plan execution strategies allow an autonomous agent to respond to uncertainties while improving robustness and reducing the need for an overly conservative plan. Executive...
SIGMOD
2010
ACM
13 years 11 months ago
2010
ACM
Mining graph patterns in large networks is critical to a variety of applications such as malware detection and biological module discovery. However, frequent subgraphs are often i...
KDD
2007
ACM
14 years 7 months ago
2007
ACM
In analyzing data from social and communication networks, we encounter the problem of classifying objects where there is an explicit link structure amongst the objects. We study t...