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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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Maximal Information Divergence from Statistical Models Defined by Neural Networks BOOK CHAPTER published 2013 in Lecture Notes in Computer Science |
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Scaling of model approximation errors and expected entropy distances JOURNAL ARTICLE published 22 May 2014 in Kybernetika |
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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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On the Fisher Metric of Conditional Probability Polytopes JOURNAL ARTICLE published 6 June 2014 in Entropy |
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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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Escaping the Convex Hull with Extrapolated Vector Machines BOOK CHAPTER published 8 November 2002 in Advances in Neural Information Processing Systems 14 |
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Support Vector Machines on a Budget BOOK CHAPTER published 7 September 2007 in Advances in Neural Information Processing Systems 19 |
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Cross-Validation, Bootstrap, and Support Vector Machines JOURNAL ARTICLE published 27 July 2011 in Advances in Artificial Neural Systems |
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Simplifying Mixture Models through Function Approximation BOOK CHAPTER published 7 September 2007 in Advances in Neural Information Processing Systems 19 |
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Incorporating Invariances in Nonlinear Support Vector Machines BOOK CHAPTER published 8 November 2002 in Advances in Neural Information Processing Systems 14 |
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Restricted Linear Information Systems BOOK CHAPTER published in Advances in Soft Computing |
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Adaptive Nearest Neighbor Classification using Support Vector Machines BOOK CHAPTER published 8 November 2002 in Advances in Neural Information Processing Systems 14 |
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POWER SYSTEM NETWORK TOPOLOGY PROCESSING BASED ON ARTIFICIAL NEURAL NETWORKS JOURNAL ARTICLE published April 1998 in Electric Machines & Power Systems |
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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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Asymptotic Universality for Learning Curves of Support Vector Machines BOOK CHAPTER published 8 November 2002 in Advances in Neural Information Processing Systems 14 |
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Kernel Machines and Boolean Functions BOOK CHAPTER published 8 November 2002 in Advances in Neural Information Processing Systems 14 |
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Optimal semi-online algorithms for scheduling problems with reassignment on two identical machines JOURNAL ARTICLE published April 2011 in Information Processing Letters |
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Novel Iteration Schemes for the Cluster Variation Method BOOK CHAPTER published 8 November 2002 in Advances in Neural Information Processing Systems 14 |
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Approximation algorithms for restricted Bayesian network structures JOURNAL ARTICLE published September 2008 in Information Processing Letters |