Sciweavers

85 search results - page 4 / 17
» Exploiting Causal Independence in Large Bayesian Networks
Sort
View
BMCBI
2010
147views more  BMCBI 2010»
13 years 7 months ago
Learning biological network using mutual information and conditional independence
Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...
Dong-Chul Kim, Xiaoyu Wang, Chin-Rang Yang, Jean G...
AIME
2009
Springer
14 years 2 months ago
Causal Probabilistic Modelling for Two-View Mammographic Analysis
Abstract. Mammographic analysis is a difficult task due to the complexity of image interpretation. This results in diagnostic uncertainty, thus provoking the need for assistance by...
Marina Velikova, Maurice Samulski, Peter J. F. Luc...
WEBI
2001
Springer
14 years 3 days ago
On Axiomatizing Probabilistic Conditional Independencies in Bayesian Networks
Several researchers have suggested that Bayesian networks (BNs) should be used to manage the inherent uncertainty in information retrieval. However, it has been argued that manuall...
Cory J. Butz
UAI
2008
13 years 9 months ago
Efficient Inference in Persistent Dynamic Bayesian Networks
Numerous temporal inference tasks such as fault monitoring and anomaly detection exhibit a persistence property: for example, if something breaks, it stays broken until an interve...
Tomás Singliar, Denver Dash
ACSAC
2005
IEEE
14 years 1 months ago
Exploiting Independent State For Network Intrusion Detection
Network intrusion detection systems (NIDSs) critically rely on processing a great deal of state. Often much of this state resides solely in the volatile processor memory accessibl...
Robin Sommer, Vern Paxson