Xuan Zhang
Senior Scientist DARWIN
xuzh@norceresearch.no
+47 966 99 019
Jon Lilletuns vei 9 H, 3. et, 4879 Grimstad
Division
Energy & Technology
Research Groups
More information about Xuan
Projects
Publications
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Academic articleThe Hierarchical Discrete Pursuit Learning Automaton: A Novel Scheme With Fast Convergence and Epsilon-Optimality– IEEE Transactions on Neural Networks and Learning Systems 2022
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Academic articleThe Hierarchical Discrete Learning Automaton Suitable for Environments with Many Actions and High Accuracy Requirements– Lecture Notes in Computer Science (LNCS) 2022
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Academic articleA Comprehensive Survey of Estimator Learning Automata and Their Recent Convergence Results– Lecture Notes in Networks and Systems 2022
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Academic articleOn the Convergence of Tsetlin Machines for the XOR Operator– IEEE Transactions on Pattern Analysis and Machine Intelligence 2022
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Academic articleContrastive autoencoder for anomaly detection in multivariate time series– Information Sciences 2022
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Academic articleOn the convergence of Tsetlin machines for the IDENTITY- and NOT operators– IEEE Transactions on Pattern Analysis and Machine Intelligence 2021
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Academic chapterAdaptive Continuous Feature Binarization for Tsetlin Machines Applied to Forecasting Dengue Incidences in the Philippines– 2020
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Academic articleThe regression Tsetlin machine: a novel approach to interpretable nonlinear regression– Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 2019
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Academic articleThe Hierarchical Continuous Pursuit Learning Automation: A Novel Scheme for Environments With Large Numbers of Actions– IEEE Transactions on Neural Networks and Learning Systems 2019
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Academic chapterA Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks– 2019
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Academic articleA Conclusive Analysis of the Finite-Time Behavior of the Discretized Pursuit Learning Automaton– IEEE Transactions on Neural Networks and Learning Systems 2019
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Academic chapterThe Hierarchical Continuous Pursuit Learning Automation for Large Numbers of Actions– 2018
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Academic articleThe design of absorbing Bayesian pursuit algorithms and the formal analyses of their ε-optimality– Pattern Analysis and Applications 2016
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Academic articleOptimizing channel selection for cognitive radio networks using a distributed Bayesian learning automata-based approach– Applied intelligence (Boston) 2016
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Academic articleA formal proof of the e-optimality of discretized pursuit algorithms– Applied intelligence (Boston) 2015
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Academic chapterUsing the Theory of Regular Functions to Formally Prove the ε -Optimality of Discretized Pursuit Learning Algorithms– 2014
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Academic chapterA Bayesian Learning Automata-Based Distributed Channel Selection Scheme– 2014
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Academic articleA formal proof of the ε-optimality of absorbing continuous pursuit algorithms using the theory of regular functions– Applied intelligence (Boston) 2014
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Academic chapterOn Using the Theory of Regular Functions to Prove the Epsilon-Optimality of the Continuous Pursuit Learn- ing Automaton– 2013
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Academic chapterChannel selection in cognitive radio networks: A switchable Bayesian learning automata approach– 2013
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Academic articleOn incorporating the paradigms of discretization and Bayesian estimation to create a new family of pursuit learning automata– Applied intelligence (Boston) 2013
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Academic chapterDiscretized Bayesian Pursuit – A New Scheme for Reinforcement Learning– 2012
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Academic chapterThe Bayesian Pursuit Algorithm: A New Family of Estimator Learning Automata– 2011
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Academic chapterGeneralized Bayesian Pursuit: A Novel Scheme for Multi-Armed Bernoulli Bandit Problems– 2011
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Academic articleGeneralized Bayesian pursuit: a novel scheme for multi-armed Bernoulli bandit problems– IFIP Advances in Information and Communication Technology 2011
