1077 search results - page 23 / 216 » Learning network structure from passive measurements |
BMCBI
2006
13 years 7 months ago
2006
Background: The development of algorithms to infer the structure of gene regulatory networks based on expression data is an important subject in bioinformatics research. Validatio...
SECON
2010
IEEE
13 years 5 months ago
2010
IEEE
Abstract--Wireless interference is the major cause of degradation of capacity in 802.11 wireless networks. We present an approach to estimate the interference between nodes and lin...
USENIX
2003
13 years 9 months ago
2003
Performance was an important issue in the development of X from the initial protocol design and continues to be important in modern application and extension development. That X i...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...