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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… 
2018
2018
Complex-Valued Deep Belief Networks
Deep belief networks were among the first models in the deep learning paradigm. Their use for unsupervised pretraining allowed… 
2015
2015
Acoustic modeling using deep belief network for Bangla speech recognition
Most of the Speech Recognition (SR) systems use Hidden Markov Model (HMM) for acoustic modeling and Gaussian Mixture Model (GMM… 
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… 
2011
2011
Director Agent Intervention Strategies for Interactive Narrative Environments
Interactive narrative environments offer significant potential for creating engaging narrative experiences. Increasingly… 
2011
2011
Multi-Sensor Health Diagnosis Using Deep Belief Network Based State Classification
The project completed at the Wichita State University Department of Industrial and Manufacturing Engineering. Presented at the… 
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… 
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… 
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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