1077 search results - page 30 / 216 » Learning network structure from passive measurements |
CEC
2010
IEEE
13 years 8 months ago
2010
IEEE
Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
MLG
2007
Springer
14 years 1 months ago
2007
Springer
: Network topology not only tells about tightly-connected “communities,” but also gives cues on more subtle properties of the vertices. We introduce a simple probabilistic late...
ICALT
2003
IEEE
14 years 1 months ago
2003
IEEE
We provide empirical support for the assertions that high level of knowledge construction is associated with structured design and that knowledge construction is associated with c...
ICANN
2010
Springer
13 years 8 months ago
2010
Springer
Abstract. In this paper we elaborate on a kernel extension to tensorbased data analysis. The proposed ideas find applications in supervised learning problems where input data have ...
CORR
2010
Springer
13 years 2 months ago
2010
Springer
Abstract: Transactional network data can be thought of as a list of oneto-many communications (e.g., email) between nodes in a social network. Most social network models convert th...