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SSRN 2025年

作者： Chen, Yinsong Yu, Samson S. Li, Zhong Eshraghian, Jason K. Lim, Chee Peng School of Engineering Deakin University MelbourneVIC3216 Australia Faculty of Mathmatics and Computer Science FernUniversität Hagen58084 Germany Department of Electrical and Computer Engineering University of California Santa CruzCA95064 United States Department of Computing Technologies Swinburne University of Technology HawthornVIC3122 Australia

While deep learning models have seen significant success across various domains, their black-box learning nature and lack of interpretability affect their reliability in safety-critical applications like medical diagnostics and autonomous vehicles. In an attempt to address these limitations, Bayesian neural networks (BNNs) offer a promising alternative by incorporating uncertainty estimation into model predictions, enhancing transparency and decision-making. However, BNN development has primarily focused on efficient, high-fidelity approximate inference and guaranteed convergence in asymptotic settings. These are unsuitable for modern high-dimensional, multimodal, and non-asymptotic deep learning applications, undermining their theoretical advantages. To bridge this gap, this paper provides in-depth reviews on how approximate Bayesian inference leverages deep learning optimization to achieve high efficiency and fidelity in high-dimensional spaces and multimodal loss landscapes. It also reconciles Bayesian consistency with generalization objectives in non-asymptotic settings and investigates the generalization capabilities of BNNs. Additionally, this survey examines the often-overlooked expressiveness of BNNs, emphasizing how weight uncertainty and the absence of in-between uncertainty affect their performance. This survey aims to inspire BNN practitioners to adopt a deep learning perspective and offer valuable insights to propel further advancements in the field. © 2025, The Authors. All rights reserved.

关键词： Deep neural networks

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Dynamic-agents to support adaptability in P2P workflow management systems

Dynamic-agents to support adaptability in P2P workflow manag...

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ICEIS 2009 - 11th International Conference on Enterprise Information Systems

作者： Aldeeb, A. Crockett, K. Stanton, M.J. Department of Computing and Mathmatics Manchester Metropolitan University Chester Street Manchester M1 5GD United Kingdom

ISBN: (纸本)9789898111845

Peer-to-Peer (P2P) technology is being recognized as a new approach to decentralized workflow management systems to overcome the limitation of the current centralized Client/Server workflow management systems. However, the lack of supporting adaptability and exception handling at instance level of this approach seems to be responsible for the weakness of the P2P workflow management systems. Dynamic agents can be used within P2P workflow management systems architecture to facilitate adaptability and exception handling. This paper presents a novel dynamic-agent P2P workflow management system which integrates three major technologies: software agents, P2P networking and workflow systems. The adoption of dynamic agents within P2P network can help in overcoming the adaptability problem, reducing the need for human involvement in exception handling and improves the effectiveness of the P2P workflow management system.

关键词： Software agents

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An inter-orgapeer-to-peernizational peer-to-peer workflow management system -P2P based virtual organization concept

An inter-orgapeer-to-peernizational peer-to-peer workflow ma...

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10th International Conference on Enterprise Information Systems, ICEIS 2008

作者： Aldeeb, A. Crockett, K. Stanton, M.J. Department of Computing and Mathmatics Manchester Metropolitan University Manchester M1 5GD United Kingdom

ISBN: (纸本)9789898111395

Current inter-organizational cooperation technologies and approaches do not adequately support cross-organizational workflow. These approaches concentrate on automating the public workflow in isolation from the internal workflow management systems inside the cooperating organization. Integrating Peer-to-peer (P2P) and workflow technology enables virtual enterprises to dynamically form and dismantle partnerships between organizations workflow management systems. In addition, P2P workflow based systems support various forms of workflow interoperability e. g capacity sharing, chained execution, subcontracting, case transfer, loosely coupled and public to private approach. This paper describes a novel peer-to-peer inter-organizational workflow management framework (P2P inter-org WFMS), which includes workflow advertisement, workflow interconnection, and workflow cooperation. Each organization acts as a workflow peer (WFP) in a virtual enterprise. Sun Microsystems's JXTA P2P networking environment is used for prototype implementation. XPDL (XML Process Definition Languages) is used for process definition as it offers portability between different Process Design tools. The internal WFMS in each organization is being implemented using TIBCO Business Studio ™.

关键词： Case based reasoning

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作者： Aldeeb, A. Pearce, D.M. Crockett, K. Stanton, M.J. Department of Computing and Mathmatics Manchester Metropolitan University Chester Street Manchester MI 5GD United Kingdom

ISBN: (纸本)9789898425058

Exceptions occurrence in workflow systems is common. Searching in the past exceptions handlers' records, looking for any similar exception serves as good sources in designing the solution to resolve the exception at hand. In the literature, there are three approaches to retrieve similar workflow exception records from the knowledge base. These approaches are keyword-based approach, concept hierarchies approach and pattern matching retrieval system. However, in a workflow domain, exceptions are often described by workflow participants as a short text using natural language rather than a set of user-defined keywords. Therefore, the above mentioned approaches are not effective in retrieval of relevant information. The proposed approach considers the semantic similarity between the workflow exceptions rather than term-matching schemes, taking account of semantic information and word order information implied in the sentence. Our findings show that sentence similarity measures are capable of supporting the retrieval of relevant information in workflow exception handling knowledge. This paper presents a novel approach to apply sentence similarity measures within the case-based reasoning methodology in workflow exception handling. A data set, comprising of 76 sentence pairs representing instance level workflow exceptions are tested and the results show significant correlation between the automated similarity measures and the human domain expert intuition.

关键词： Case based reasoning

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Development of Social Technology Entrepreneurial Ventures: A challenge project-based learning approach 21

Development of Social Technology Entrepreneurial Ventures: A...

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21st IFAC Conference on Technology, Culture and International Stability, TECIS 2022

作者： Organ, John O'Neill, Sinead Shanahan, Breda Walsh Department of Accounting and Economics South East Technological University Ireland Department of Computing and Mathmatics South East Technological University Ireland Department of Education South East Technological University Ireland

This paper details the use of a project-based learning approach to the delivery of an entrepreneurial curriculum to software development students at the South East Technological University (SETU). For the challenge-based project, students were required to develop a compelling plan for a social technology venture and to create an audio-visual elevator pitch. This paper highlights an initial attempt at incorporating challenge-based learning and social entrepreneurship to support the development of entrepreneurial competencies amongst software development students. Copyright © 2022 The Authors.

关键词： Students

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Theoretical modelling IEEE 802.15.4 MAC protocol with retransmission for wireless personal area networks in medical and healthcare deployment

Theoretical modelling IEEE 802.15.4 MAC protocol with retran...

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13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed computing, SNPD 2012

作者： Zhang, Zhongwei Zhou, Hong Department of Mathmatics and Computing University of Southern Queensland Toowoomba QLD 4350 Australia Department of Electrical Electronic and Computer Engineering University of Southern Queensland Toowoomba QLD 4350 Australia

ISBN: (纸本)9780769547619

Though, Wireless Sensor Networks have many successful applications in military, smart building, habitat monitoring, etc. it just begun to show its superiority in the medical domain in recent years. Deployment of WSNs in medical domain exert many more stringent requirements on the capability of sensing and in-networking processing, due to the nature of high accessibility and the privacy sensitive requirement of medical environment, the application of WSN such as Wireless Personal Area Network (WPAN) must be carefully examined before practical use. This paper considers the performance of WPANs under different scenarios, which are the WSNs deployed in the medical and healthcare domains. It focuses on the behaviour of sensor nodes while accessing the shared channels during communicating each other. The channel access mechanism described as the slotted CSMA with collision avoidance (CA) in the network compliant the IEEE 802.15.4 standard are often investigated by the Markov chain modelling technique used in many complex systems. The performance matrices provide many insights to the technical designers and service users of WPAN systems. © 2012 IEEE.

关键词： Sensor nodes

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Nonlinearly Activated Neural Network for Solving Dynamic Complex-Valued Matrix Pseudoinverse 36

Nonlinearly Activated Neural Network for Solving Dynamic Com...

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第36届中国控制会议

作者： XIANG Qiuhong LIAO Bolin JIN Long LIU Mei ZHANG Yinyan College of Mathmatics and Statistics Jishou University College of Information Science and Engineering Jishou University College of Information Science and Engineering Lanzhou University Department of Computing Hong Kong Polytechnic University

ISBN: (纸本)9781538629185

A special class of recurrent neural network,termed Zhang neural network（ZNN）,has been recently proposed for solving various dynamic problems,and has shown excellent performance in the real-valued *** this paper,a new complexvalued ZNN model（termed CVZNN model） is firstly proposed and investigated for online solution of dynamic complex-valued matrix ***,a novel activation function,called Li activation function,is employed,which is proven to enable the CVZNN model to converge in finite *** comparative purposes,the linear activation function is exploited for solving such a dynamic complex-valued *** simulations are conducted to evaluate and compare the performance of CVZNN model with different activation functions for the dynamic complex-valued matrix *** theoretical analysis and simulation results verify the efficacy of the CVZNN model with nonlinear activation function.

关键词： Neural Network Complex-Valued Dynamic Li Activation Function Pseudoinverse

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Development of Social Technology Entrepreneurial Ventures: A challenge project-based learning approach

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IFAC-PapersOnLine 2022年第39期55卷 181-186页

作者： John Organ Sinead O'Neill Breda Walsh Shanahan Department of Accounting and Economics South East Technological University Ireland Department of Computing and Mathmatics South East Technological University Ireland Department of Education South East Technological University Ireland

关键词： software development technology entrepreneurship education

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A mixed Weisfeiler-Lehman graph kernel 10

A mixed Weisfeiler-Lehman graph kernel

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10th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2015

作者： Xu, Lixiang Xie, Jin Wang, Xiaofeng Luo, Bin School of Computer Science and Technology Anhui University Hefei Anhui230601 China Department of Mathmatics & Physics Hefei University Hefei Anhui230601 China Department of Computer Science and Technology Hefei University Hefei Anhui230601 China Institute of Scientific Computing Hefei University Hefei Anhui230601 China

ISBN: (纸本)9783319182230

Using concepts from the Weisfeiler-Lehman (WL) test of isomorphism, we propose a mixed WL graph kernel (MWLGK) framework based on a family of efficient WL graph kernels for constructing mixed graph kernel. This family of kernels can be defined based on the WL sequence of graphs. We apply the MWLGK framework on WL graph sequence taking into account the structural information which was overlooked. Our MWLGK is competitive with or outperforms the corresponding single WL graph kernel on several classification benchmark data sets. © Springer International Publishing Switzerland 2015.

关键词： Classification (of information)

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Quotient space approachability basing on measure space and fusion model of weighted graphical structure

Quotient space approachability basing on measure space and f...

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IEEE International Conference on Granular computing (GRC)

作者： HongBin Fang Ling Zhang Department of Mathmatics Anhui University Hefei China Department of Key Laboratory of Intelligent Computing & Signal Processing of Ministry of Education Institute of Artifical Intelligence Anhui University Hefei China

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