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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

Authors: Guido Montufar | Nihat Ay

Universal Approximation Depth and Errors of Narrow Belief Networks with Discrete Units

JOURNAL ARTICLE published July 2014 in Neural Computation

Authors: Guido F. Montúfar

Approximation properties of Gaussian-binary restricted Boltzmann machines and Gaussian-binary deep belief networks

JOURNAL ARTICLE published September 2022 in Neural Networks

Authors: Linyan Gu | Lihua Yang | Feng Zhou

Representational Power of Restricted Boltzmann Machines and Deep Belief Networks

JOURNAL ARTICLE published June 2008 in Neural Computation

Authors: Nicolas Le Roux | Yoshua Bengio

Multivariate sigmoidal neural network approximation

JOURNAL ARTICLE published May 2011 in Neural Networks

Authors: George A. Anastassiou

Essential rate for approximation by spherical neural networks

JOURNAL ARTICLE published September 2011 in Neural Networks

Research funded by National 973 Project (2007CB311002) | National Natural Science Foundation of China (90818020,60873206)

Authors: Shaobo Lin | Feilong Cao | Zongben Xu

Reinforcement Learning: An Introduction; R.S. Sutton, A.G. Barto (Eds.); MIT Press, Cambridge, MA, 1998, 380 pages, ISBN 0-262-19398-1, $42.00

JOURNAL ARTICLE published January 2000 in Neural Networks

Authors: R.P.N Rao

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)

Authors: Linyan Gu | Lihua Yang | Feng Zhou

Cross-Validation, Bootstrap, and Support Vector Machines

JOURNAL ARTICLE published 27 July 2011 in Advances in Artificial Neural Systems

Authors: Masaaki Tsujitani | Yusuke Tanaka

Divergence measures and a general framework for local variational approximation

JOURNAL ARTICLE published December 2011 in Neural Networks

Authors: Kazuho Watanabe | Masato Okada | Kazushi Ikeda

A fruitful blend, or a trinket-box? A book review of The MIT Encyclopedia of the Cognitive Sciences. R.A. Wilson, F.C. Keil (Eds.); MIT Press, Cambridge, MA, 1999, 964 pp., ISBN 0-262-73124-X, US$ 149.95

JOURNAL ARTICLE published April 2000 in Neural Networks

Authors: Rajeev D.S Raizada

Multi-site stimulation of subthalamic nucleus diminishes thalamocortical relay errors in a biophysical network model

JOURNAL ARTICLE published August 2011 in Neural Networks

Authors: Yixin Guo | Jonathan E. Rubin

Stable iterative adaptive dynamic programming algorithm with approximation errors for discrete-time nonlinear systems

JOURNAL ARTICLE published May 2014 in Neural Computing and Applications

Authors: Qinglai Wei | Derong Liu

Analysis of the rate of convergence of least squares neural network regression estimates in case of measurement errors

JOURNAL ARTICLE published April 2011 in Neural Networks

Authors: Michael Kohler | Jens Mehnert

Improved Learning of Gaussian-Bernoulli Restricted Boltzmann Machines

BOOK CHAPTER published 2011 in Lecture Notes in Computer Science

Authors: KyungHyun Cho | Alexander Ilin | Tapani Raiko

What is Thought?—E. B. Baum (Cambridge, MA: MIT Press, 2004, ISBN 0-262-02548-5) Reviewed by I. BrzeziŃska and R. SŁowiŃski

JOURNAL ARTICLE published January 2006 in IEEE Transactions on Neural Networks

On the Representational Power of Restricted Boltzmann Machines for Symmetric Functions and Boolean Functions

JOURNAL ARTICLE published May 2019 in IEEE Transactions on Neural Networks and Learning Systems

Research funded by National Natural Science Foundation of China (11771458,11431015,11601532) | Guangdong Province Key (2016B030307003)

Authors: Linyan Gu | Jianfeng Huang | Lihua Yang

Adaptive Neural Network Control for Nonlinear Systems Based on Approximation Errors

BOOK CHAPTER published 2006 in Advances in Neural Networks - ISNN 2006

Authors: Yan-Jun Liu | Wei Wang

Optimal Tracking Control Scheme for Discrete-Time Nonlinear Systems with Approximation Errors

BOOK CHAPTER published 2013 in Advances in Neural Networks – ISNN 2013

Authors: Qinglai Wei | Derong Liu

Composite power system reliability evaluation using support vector machines on a multicore platform

PROCEEDINGS ARTICLE published July 2011 in The 2011 International Joint Conference on Neural Networks

Authors: Robert C. Green | Lingfeng Wang | Mansoor Alam