Browsing Publikasjoner fra CRIStin by Author "Zhang, Xuan"
Now showing items 1-11 of 11
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A formal proof of the e-optimality of discretized pursuit algorithms
Zhang, Xuan; Oommen, John; Granmo, Ole-Christoffer; Lei, Jiao (Journal article; Peer reviewed, 2015) -
Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size
Abeyrathna, Kuruge Darshana; Abouzeid, Ahmed Abdulrahem Othman; Bhattarai, Bimal; Giri, Charul; Glimsdal, Sondre; Granmo, Ole-Christoffer; Lei, Jiao; Saha, Rupsa; Sharma, Jivitesh; Tunheim, Svein Anders; Zhang, Xuan (Academic article, 2023)Tsetlin machine (TM) is a logic-based machine learning approach with the crucial advantages of being transparent and hardware-friendly. While TMs match or surpass deep learning accuracy for an increasing number of applications, ... -
A Conclusive Analysis of the Finite-Time Behavior of the Discretized Pursuit Learning Automaton
Zhang, Xuan; Jiao, Lei; Oommen, John; Granmo, Ole-Christoffer (Journal article; Peer reviewed, 2019)This paper deals with the finite-time analysis (FTA) of learning automata (LA), which is a topic for which very little work has been reported in the literature. This is as opposed to the asymptotic steady-state analysis ... -
The Hierarchical Continuous Pursuit Learning Automation : A Novel Scheme for Environments With Large Numbers of Actions
Yazidi, Anis; Zhang, Xuan; Lei, Jiao; Oommen, John (Journal article; Peer reviewed, 2019) -
The Hierarchical Discrete Learning Automaton Suitable for Environments with Many Actions and High Accuracy Requirements
Omslandseter, Rebekka Olsson; Jiao, Lei; Zhang, Xuan; Yazidi, Anis; Oommen, John (Peer reviewed; Journal article, 2022)Since its early beginning, the paradigm of Learning Automata (LA), has attracted much interest. Over the last decades, new concepts and various improvements have been introduced to increase the LA’s speed and accuracy, ... -
The Hierarchical Discrete Pursuit Learning Automaton: A Novel Scheme With Fast Convergence and Epsilon-Optimality
Omslandseter, Rebekka Olsson; Jiao, Lei; Zhang, Xuan; Yazidi, Anis; Oommen, John (Peer reviewed; Journal article, 2022)Since the early 1960s, the paradigm of learning automata (LA) has experienced abundant interest. Arguably, it has also served as the foundation for the phenomenon and field of reinforcement learning (RL). Over the decades, ... -
On the Convergence of Tsetlin Machines for the XOR Operator
Lei, Jiao; Zhang, Xuan; Granmo, Ole-Christoffer; Abeyrathna, Kuruge Darshana (Peer reviewed; Journal article, 2022)The Tsetlin Machine (TM) is a novel machine learning algorithm with several distinct properties, including transparent inference and learning using hardware-near building blocks. Although numerous papers explore the TM ... -
Optimization channel selection for cognitive radio networks using a distributed Bayesian learning automata-based approach
Lei, Jiao; Zhang, Xuan; Oommen, John; Granmo, Ole-Christoffer (Journal article; Peer reviewed, 2015) -
The regression Tsetlin machine: a novel approach to interpretable nonlinear regression
Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Zhang, Xuan; Lei, Jiao; Goodwin, Morten (Peer reviewed; Journal article, 2019) -
The design of absorbing Bayesian pursuit algorithms and the formal analyses of their ε-optimality
Zhang, Xuan; Oommen, John; Granmo, Ole-Christoffer (Peer reviewed; Journal article, 2016)The fundamental phenomenon that has been used to enhance the convergence speed of learning automata (LA) is that of incorporating the running maximum likelihood (ML) estimates of the action reward probabilities into the ... -
The Hierarchical Continuous Pursuit Learning Automation for Large Numbers of Actions
Yazidi, Anis; Zhang, Xuan; Lei, Jiao; Oommen, John (Chapter; Peer reviewed, 2018)