Blar i Scientific Publications in Information and Communication Technology på forfatter "Jiao, Lei"
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A formal proof of the ε-optimality of absorbing continuous pursuit algorithms using the theory of regular functions
Zhang, Xuan; Granmo, Ole-Christoffer; Oommen, B. John; Jiao, Lei (Journal article; Peer reviewed, 2014)The most difficult part in the design and analysis of Learning Automata (LA) consists of the formal proofs of their convergence accuracies. The mathematical techniques used for the different families (Fixed Structure, ... -
A general framework for group authentication and key exchange protocols
Yang, Huihui; Jiao, Lei; Oleschchuk, Vladimir A. (Lecture Notes in Computer Science;8352, Chapter; Peer reviewed, 2014)In this paper, we propose a novel framework for group authentication and key exchange protocols. There are three main advantages of our framework. First, it is a general one, where different cryptographic primitives can ... -
Analysis on channel bonding/aggregation for multi-channel cognitive radio networks
Jiao, Lei; Pla, Vincent; Li, Frank Yong (Chapter; Peer reviewed, 2010)Channel bonding/aggregation techniques, which assemble several channels together as one channel, could be used in cognitive radio networks for the purpose of achieving better bandwidth utilization. In existing work on this ... -
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 ... -
ConvTextTM: An Explainable Convolutional Tsetlin Machine Framework for Text Classification
Bhattarai, Bimal; Granmo, Ole-Christoffer; Jiao, Lei (Journal article, 2022)Recent advancements in natural language processing (NLP) have reshaped the industry, with powerful language models such as GPT-3 achieving superhuman performance on various tasks. However, the increasing complexity of such ... -
A dynamic parallel-rendezvous MAC mechanism in multi-rate cognitive radio networks: Mechanism design and performance evaluation
Jiao, Lei; Li, Frank Yong (Journal article; Peer reviewed, 2009)Parallel rendezvous multi-channel MAC mechanisms are regarded as an efficient method for media access control in cognitive radio networks since they do not need a control channel and use only one transceiver. ... -
Explainable Tsetlin Machine Framework for Fake News Detection with Credibility Score Assessment
Granmo, Ole-Christoffer; Jiao, Lei (Journal article, 2022)The proliferation of fake news, i.e., news intentionally spread for misinformation, poses a threat to individuals and society. Despite various fact-checking websites such as PolitiFact, robust detection techniques are ... -
Greedy versus Dynamic Channel Aggregation Strategy in CRNs: Markov Models and Performance Evaluation
Jiao, Lei; Li, Frank Yong; Pla, Vincent (Lecture Notes in Computer Science;6827, Chapter; Peer reviewed, 2011)In cognitive radio networks, channel aggregation techniques which aggregate several channels together as one channel have been proposed in many MAC protocols. In this paper, we consider elastic data traffic and spectrum ... -
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, ... -
A Learning-Automata Based Solution for Non-equal Partitioning: Partitions with Common GCD Sizes
Omslandseter, Rebekka Olsson; Jiao, Lei; Oommen, John (Lecture Notes in Computer Science;12799, Peer reviewed; Journal article, 2021)The Object Migration Automata (OMA) has been used as a powerful tool to resolve real-life partitioning problems in random Environments. The virgin OMA has also been enhanced by incorporating the latest strategies in Learning ... -
Measuring the Novelty of Natural Language Text using the Conjunctive Clauses of a Tsetlin Machine Text Classifier
Bhattarai, Bimal; Granmo, Ole-Christoffer; Jiao, Lei (Chapter, 2021)Most supervised text classification approaches assume a closed world, counting on all classes being present in the data at training time. This assumption can lead to unpredictable behaviour during operation, whenever novel, ... -
Object Migration Automata for Non-equal Partitioning Problems with Known Partition Sizes
Omslandseter, Rebekka Olsson; Jiao, Lei; Oommen, John (IFIP Advances in Information and Communication Technology;627, Peer reviewed; Journal article, 2021)Solving partitioning problems in random environments is a classic and challenging task, and has numerous applications. The existing Object Migration Automaton (OMA) and its proposed enhancements, which include the Pursuit ... -
On using the theory of regular functions to prove the ε-Optimality of the Continuous Pursuit Learning Automaton
Zhang, Xuan; Granmo, Ole-Christoffer; Oommen, B. John; Jiao, Lei (Lecture Notes in Computer Science;7906, Chapter; Peer reviewed, 2013)There are various families of Learning Automata (LA) such as Fixed Structure, Variable Structure, Discretized etc. Informally, if the environment is stationary, their ε-optimality is defined as their ability to converge ... -
Power allocation in multi-channel cognitive radio networks with channel assembling
Jiao, Lei; Razaviyayn, Meisam; Song, Enbin; Luo, Zhi-Quan; Li, Frank Yong (Chapter; Peer reviewed, 2011)Consider power allocation for Secondary User (SU) packet transmissions over multiple channels with variable Primary User (PU) arrival rates in cognitive radio networks. Two problems are studied in this paper: The first one ... -
Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook
Goodwin, Morten; Halvorsen, Kim Aleksander Tallaksen; Jiao, Lei; Knausgård, Kristian Muri; Martin, Angela Helen; Moyano, Marta; Oomen, Rebekah Alice; Rasmussen, Jeppe Have; Sørdalen, Tonje Knutsen; Thorbjørnsen, Susanna Huneide (Peer reviewed; Journal article, 2022)The deep learning (DL) revolution is touching all scientific disciplines and corners of our lives as a means of harnessing the power of big data. Marine ecology is no exception. New methods provide analysis of data from ...