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Refinements of Universal Approximation Results for Deep Belief Networks and Restricted Boltzmann Machines JOURNAL ARTICLE published May 2011 in Neural Computation |
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Approximation properties of Gaussian-binary restricted Boltzmann machines and Gaussian-binary deep belief networks JOURNAL ARTICLE published September 2022 in Neural Networks |
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Refinements of Approximation Results of Conditional Restricted Boltzmann Machines JOURNAL ARTICLE published March 2023 in IEEE Transactions on Neural Networks and Learning Systems Research funded by National Natural Science Foundation of China (11901113) | Guangzhou Science and Technology Plan Project (201904010225) | Guangdong Natural Science Foundation (2020A1515110951) |
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An Implementation of Deep Belief Networks Using Restricted Boltzmann Machines in Clojure DISSERTATION published |
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Restricted Boltzmann Machines and Deep Belief Networks on multi-core processors PROCEEDINGS ARTICLE published June 2012 in The 2012 International Joint Conference on Neural Networks (IJCNN) |
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Representational Power of Restricted Boltzmann Machines and Deep Belief Networks JOURNAL ARTICLE published June 2008 in Neural Computation |
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Autoencoders, Restricted Boltzmann Machines, and Deep Belief Networks BOOK CHAPTER published 2017 in Introduction to Deep Learning Using R |
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Stochastic Feedforward Neural Networks: Universal Approximation BOOK CHAPTER published 22 December 2022 in Mathematical Aspects of Deep Learning |
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Neuromorphic adaptations of restricted Boltzmann machines and deep belief networks PROCEEDINGS ARTICLE published August 2013 in The 2013 International Joint Conference on Neural Networks (IJCNN) |
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Universal Approximation Depth and Errors of Narrow Belief Networks with Discrete Units JOURNAL ARTICLE published July 2014 in Neural Computation |
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Restricted Boltzmann Machines BOOK CHAPTER published 2023 in Neural Networks and Deep Learning |
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Restricted Boltzmann Machines BOOK CHAPTER published 2018 in Neural Networks and Deep Learning |
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Restricted Boltzmann machines for pre-training deep Gaussian networks PROCEEDINGS ARTICLE published August 2013 in The 2013 International Joint Conference on Neural Networks (IJCNN) |
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A tutorial on stochastic approximation algorithms for training Restricted Boltzmann Machines and Deep Belief Nets PROCEEDINGS ARTICLE published January 2010 in 2010 Information Theory and Applications Workshop (ITA) |
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Restricted Boltzmann Machines BOOK CHAPTER published 2018 in Deep Belief Nets in C++ and CUDA C: Volume 1 |
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An Adaptive Deep Belief Network With Sparse Restricted Boltzmann Machines JOURNAL ARTICLE published October 2020 in IEEE Transactions on Neural Networks and Learning Systems Research funded by Key Project of National Natural Science Foundation of China (61533002) | National Natural Science Foundation of China (61703011,61673229) | Major Project for New Generation Artificial Intelligence (2018AAA0101600) | National Science and Technology Major Project (2018ZX07111005) |
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Restricted Boltzmann Machines: an Eigencentrality-based Approach PROCEEDINGS ARTICLE published July 2019 in 2019 International Joint Conference on Neural Networks (IJCNN) |
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Exploiting Restricted Boltzmann Machines and Deep Belief Networks in Compressed Sensing JOURNAL ARTICLE published 1 September 2017 in IEEE Transactions on Signal Processing Research funded by National Science Foundation (1319598) |
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Asymmetric Parallel Boltzmann Machines are Belief Networks BOOK CHAPTER published 12 October 2001 in Graphical Models |
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Asymmetric Parallel Boltzmann Machines are Belief Networks JOURNAL ARTICLE published November 1992 in Neural Computation |