JIRS
2006
13 years 4 months ago
2006
In this article, a novel human
CSL
2007
Springer
13 years 4 months ago
2007
Springer
This paper describes the use of dynamic Bayesian networks for the task of articulatory feature recognition. We show that by modeling the dependencies between a set of 6 multi-leve...
UAI
2000
13 years 5 months ago
2000
In this work, dynamic Bayesian multinets are introduced where a Markov chain state at time
UAI
1998
13 years 5 months ago
1998
The monitoring and control of any dynamic system depends crucially on the ability to reason about its current status and its future trajectory. In the case of a stochastic system,...
AAAI
2000
13 years 5 months ago
2000
This paper addresses the problem of tracking and diagnosing complex systems with mixtures of discrete and continuous variables. This problem is a difficult one, particularly when ...
AAAI
1998
13 years 5 months ago
1998
This paperconsidersthe problem of representingcomplex systems that evolve stochastically over time. Dynamic Bayesian networks provide a compact representation for stochastic proce...
IJCAI
2003
13 years 5 months ago
2003
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...
FLAIRS
2003
13 years 5 months ago
2003
We extend the differential approach to inference in Bayesian networks (BNs) (Darwiche, 2000) to handle specific problems that arise in the context of dynamic Bayesian networks (D...
NIPS
2008
13 years 6 months ago
2008
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
AAAI
2008
13 years 6 months ago
2008
With recent advances in motion detection and tracking in video, more efforts are being directed at higher-level video analysis such as recognizing actions, events and activities. ...