143 search results - page 24 / 29 » Modeling Unreliable Observations in Bayesian Networks by Cre... |
SECURWARE
2008
IEEE
14 years 2 months ago
2008
IEEE
Abstract. This paper presents our pattern-based approach to run-time requirements monitoring and threat detection being developed as part of an approach to build frameworks support...
NIPS
1998
13 years 9 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
CVPR
2004
IEEE
14 years 9 months ago
2004
IEEE
We consider the problem of localizing the articulated and deformable shape of a walking person in a single view. We represent the non-rigid 2D body contour by a Bayesian graphical...
COMPSAC
2008
IEEE
13 years 9 months ago
2008
IEEE
This paper presents a methodology for setting up a Decision Support system for User Interface Design (DSUID). We first motivate the role and contributions of DSUID and then demons...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
We present an algorithm, HI-MAT (Hierarchy Induction via Models And Trajectories), that discovers MAXQ task hierarchies by applying dynamic Bayesian network models to a successful...