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Dynamic Bayesian network

Known as: DBN, Dynamic Bayesian networks, Dynamical Bayesian network 
A Dynamic Bayesian Network (DBN) is a Bayesian network which relates variables to each other over adjacent time steps. This is often called a Two… 
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Related topics

Related topics

13 relations
Artificial intelligenceBayesian networkBayesian programmingBioinformatics

Papers overview

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2016
2016
STUDENT EVALUATION MODEL USING BAYESIAN NETWORK IN AN INTELLIGENT E-LEARNING SYSTEM
*Corresponding author: Email: meghamala.sinha@gmail.com 
2015
2015
Classification of Highway Lane Change Behavior to Detect Dangerous Cut-in Maneuvers
Recognizing dangerous driver behavior is an essential part of predicting accurate vehicle trajectories in vehicle active safety… 
2011
2011
Video object tracking using SIFT and mean shift
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2011
2011
A Model to Support Risk Management Decision-Making
This paper considers the issue of designing a framework to efficiently manage the risk due to some adverse events an organization… 
2010
2010
A Conceptual Framework for Assessing Performance in Games and Simulations. CRESST Report 771.
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2007
2007
Dynamic Bayesian Networks and Discriminative Classifiers for Multi-Stage Semantic Interpretation
In this paper, a multi-stage spoken language understanding system is presented. This stochastic module is for the first time… 
2006
2006
Gene Regulatory Network Construction Using Dynamic Bayesian Network (DBN) with Structure Expectation Maximization (SEM)
Discovering gene relationship from gene expression data is a hot topic in the post-genomic era. In recent years, Bayesian network… 
Review
2006
Review
2006
Using Bayesian Networks for Student Modeling
This chapter purveys an account of Bayesian networks-related technologies for modeling students in intelligent tutoring systems… 
2005
2005
A Generic Framework for Semantic Sports Video Analysis Using Dynamic Bayesian Networks
Automatic detection of semantic events in sport videos is a challenging task. In this paper, we propose a multimodal multilayer… 
2004
2004
Asynchronous Articulatory Feature Recognition Using Dynamic Bayesian Networks
This paper builds on previous work where dynamic Bayesian networks (DBN) were proposed as a model for articulatory feature… 
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