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Deep belief network

Known as: DBN, Deep Belief Networks, Deep belief net 
In machine learning, a deep belief network (DBN) is a generative graphical model, or alternatively a type of deep neural network, composed of… 
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Related topics

Related topics

18 relations
Artificial neural networkAutoencoderBayesian networkComparison of deep learning software

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Speech Quality Assessment Over Lossy Transmission Channels Using Deep Belief Networks
Nowadays, there are several telephone services based on IP networks. However, the networks can present many disturbances, such as… 
2015
2015
Optimized deep belief networks on CUDA GPUs
A deep belief network (DBN) is an important branch of deep learning models and has been successfully applied in many machine… 
2015
2015
Representational Transfer in Deep Belief Networks
  • Xiang Jiang
  • Canadian Conference on AI
  • 2015
  • Corpus ID: 34636604
A Deep Belief Network is a machine learning approach which can learn hierarchical levels of representations. However, a Deep… 
2012
2012
Multiresolution Deep Belief Networks
Motivated by the observation that coarse and ne resolutions of an image reveal dierent structures in the underlying visual… 
2010
2010
Why are DBNs sparse?
Real stochastic processes operating in continuous time can be modeled by sets of stochastic dierential equations. On the other… 
2009
2009
Insider cyber threat situational awareness framwork using dynamic Bayesian networks
Insider cyber threat is a serious problem in resent years. Many traditional methods such as intrusion detection system and… 
Highly Cited
2008
Highly Cited
2008
Automatic discovery and transfer of MAXQ hierarchies
We present an algorithm, HI-MAT (Hierarchy Induction via Models And Trajectories), that discovers MAXQ task hierarchies by… 
2007
2007
Temporal Bayesian Network based contextual framework for structured information mining
2004
2004
Dynamic Bayesian network based event detection for soccer highlight extraction
In this paper, we propose a novel approach to event detection in soccer videos using dynamic Bayesian networks (DBNs). Based on… 
2003
2003
On the structure of dynamic bayesian networks for complex scene modelling
We introduce the idea of constructing Dynamic Bayesian Networks (DBNs) with hierarchical structures for modelling complex scenes… 
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