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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

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Artificial intelligenceBayesian networkBayesian programmingBioinformatics

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Using Feature Selection and Unsupervised Clustering to Identify Affective Expressions in Educational Games
Educational games can induce a wide range of emotions, and so recognizing specific emotions may be valuable for an intelligent… 
2011
2011
Combining Hierarchical Reinforcement Learning and Bayesian Networks for Natural Language Generation in Situated Dialogue
Language generators in situated domains face a number of content selection, utterance planning and surface realisation decisions… 
2010
2010
Topological Dynamic Bayesian Networks
The objective of this research is to embed topology within the dynamic Bayesian network (DBN) formalism. This extension of a DBN… 
2010
2010
A Conceptual Framework for Assessing Performance in Games and Simulations. CRESST Report 771.
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2010
2010
Threat assessment based on variable parameter dynamic Bayesian network
To resolve the key issue of uncertainty knowledge representation in the process of establishing threat assessment system, a… 
2009
2009
A comparison of addressee detection methods for multiparty conversations
Several algorithms have recently been proposed for recognizing addressees in a group conversational setting. These algorithms can… 
Review
2009
Review
2009
Using dynamic Bayesian networks for prognostic modelling to inform maintenance decision making
In this paper, we consider the application of dynamic Bayesian networks to the prognostic modelling of equipment in order to… 
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… 
2004
2004
Predicting the intrusion intentions by observing system call sequences
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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