1077 search results - page 27 / 216 » Learning network structure from passive measurements |
ICMCS
2008
IEEE
14 years 2 months ago
2008
IEEE
Several stochastic models provide an effective framework to identify the temporal structure of audiovisual data. Most of them need as input a first video structure, i.e. connecti...
ICDCS
2010
IEEE
13 years 11 months ago
2010
IEEE
- We demonstrate that the network flux over the sensor network provides us fingerprint information about the mobile users within the field. Such information is exoteric in the phys...
IICAI
2003
13 years 9 months ago
2003
Abstract. We introduce a new genetic algorithm approach for learning a Bayesian network structure from data. Our method is capable of learning over all node orderings and structure...
UAI
1998
13 years 9 months ago
1998
Dynamic probabilistic networks are a compact representation of complex stochastic processes. In this paper we examine how to learn the structure of a DPN from data. We extend stru...
BIBM
2007
IEEE
14 years 2 months ago
2007
IEEE
Prediction of gene functions is a major challenge to biologists in the post-genomic era. Interactions between genes and their products compose networks and can be used to infer ge...