419 search results - page 38 / 84 » Using Bayesian Networks for Cleansing Trauma Data |
UAI
2003
14 years 11 months ago
2003
In this paper, we provide new complexity results for algorithms that learn discrete-variable Bayesian networks from data. Our results apply whenever the learning algorithm uses a ...
NIPS
2004
14 years 11 months ago
2004
We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...
65
Voted
AAAI
2006
14 years 11 months ago
2006
Health care officials are increasingly concerned with knowing early whether an outbreak of a particular disease is unfolding. We often have daily counts of some variable that are ...
105
Voted
ICCV
2001
IEEE
15 years 11 months ago
2001
IEEE
Robust, real-time tracking of objects from visual data requires probabilistic fusion of multiple visual cues. Previous approaches have either been ad hoc or relied on a Bayesian n...
101
click to vote
ICEIS
2008
IEEE
15 years 4 months ago
2008
IEEE
Abstract. Network Intrusion Detection Systems (NIDS) aim at preventing network attacks and unauthorised remote use of computers. More accurately, depending on the kind of attack it...