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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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Spectral Kernel Methods for Clustering BOOK CHAPTER published 8 November 2002 in Advances in Neural Information Processing Systems 14 |
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Tighter PAC-Bayes Bounds BOOK CHAPTER published 7 September 2007 in Advances in Neural Information Processing Systems 19 |
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Generalization Performance of Support Vector Machines and Other Pattern Classifiers BOOK CHAPTER published 1 December 1998 in Advances in Kernel Methods |
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On the Concentration of Spectral Properties BOOK CHAPTER published 8 November 2002 in Advances in Neural Information Processing Systems 14 |
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On Kernel-Target Alignment BOOK CHAPTER published 8 November 2002 in Advances in Neural Information Processing Systems 14 |
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Maximal Information Divergence from Statistical Models Defined by Neural Networks BOOK CHAPTER published 2013 in Lecture Notes in Computer Science |
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Towards the representational power of restricted Boltzmann machines JOURNAL ARTICLE published November 2020 in Neurocomputing Research funded by Shenzhen Key Laboratory for Exascale Engineering and Scientific Computing (ZDSYS201703031711426) | China Postdoctoral Science Foundation (2019M66318) | National Natural Science Foundation of China (11901113 and 11771458) | Guangzhou Science and Technology Plan Project (201904010225) | Guangdong Province Key Laboratory of Computational Science (2020B1212060032) |
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Selection Criteria for Neuromanifolds of Stochastic Dynamics BOOK CHAPTER published 2013 in Advances in Cognitive Neurodynamics (III) |
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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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Low-Cost Representation for Restricted Boltzmann Machines BOOK CHAPTER published 2014 in Neural Information Processing |
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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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Learning Informative Features from Restricted Boltzmann Machines JOURNAL ARTICLE published December 2016 in Neural Processing Letters Research funded by Ministry of Science and Higher Education, Republic of Poland (B40020/I32) |
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Expressive power of complex-valued restricted Boltzmann machines for solving nonstoquastic Hamiltonians JOURNAL ARTICLE published 31 October 2022 in Physical Review B Research funded by Deutsche Forschungsgemeinschaft (277101999) |
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Kernel Methods and Support Vector Machines BOOK CHAPTER published 2014 in Academic Press Library in Signal Processing |
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Covering numbers for support vector machines JOURNAL ARTICLE published 2002 in IEEE Transactions on Information Theory |
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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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Unsupervised audio segmentation based on Restricted Boltzmann Machines PROCEEDINGS ARTICLE published July 2014 in IISA 2014, The 5th International Conference on Information, Intelligence, Systems and Applications |
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Learning a better representation of speech soundwaves using restricted boltzmann machines PROCEEDINGS ARTICLE published May 2011 in 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
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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) |