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检索条件"机构=Key Laboratory for Symbolic Computation and Knowledge Engineering of the Ministry of Education"
1122 条 记 录,以下是1061-1070 订阅
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A design of product configuration manager based on weight constraint parameter value in manufacture
A design of product configuration manager based on weight co...
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5th International Conference on Control and Automation, ICCA'05
作者: Li, Niya Liu, Dayou Zhang, Jian College of Computer Science and Technology Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Jilin University China
The configuration problem in manufacture is more complicated than most other fields. Therefore, the design of modeling and reasoning module for product configuration manager in manufacture is very important and comple... 详细信息
来源: 评论
A PKI-based lightweight workflow model
A PKI-based lightweight workflow model
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5th International Conference on Control and Automation, ICCA'05
作者: Zhang, Jian Sun, Jigui Li, Niya Hu, Chengquan Li, Zehai College of Computer Science and Technology Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering Jilin University Ministry of Education China
The workflow model is the abstract expression of the workflow or the business process. Following the WfMC reference model, a PKI-based lightweight workflow model named as PBLW is put forward in this paper. The framewo... 详细信息
来源: 评论
Operational semantics of ambient calculus
Operational semantics of ambient calculus
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SOSE 2005: IEEE International Workshop on Service-Oriented System engineering
作者: Zhang, Jing Jin, Ying Guo, De-Gui Liu, Lei Jin, Cheng-Zhi Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education of P.R.China Juin University Changchun 130012 China
Mobile ambients is a process calculus for modeling mobile agents in wide-area networks. It has important theoretical and practical values in studying concurrent and mobile computation as well as the security of intera... 详细信息
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Learning dynamic bayesian network with immune evolutionary algorithm
Learning dynamic bayesian network with immune evolutionary a...
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International Conference on Machine Learning and Cybernetics, ICMLC 2005
作者: Jia, Hai-Yang Liu, Da-You Yu, Peng Key Laboratory of Symbolic Computing and Knowledge Engineering Juin University Ministry of Education Changchun China
Dynamic Bayesian Networks (DBNs) are directed graphical models of stochastic processes, How to learn the structure of DBNs from data is a hot problem of research. In this paper the author presents an Immune evolutiona... 详细信息
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Using ontologies for distributed workflow management
Using ontologies for distributed workflow management
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2005 IEEE International Conference on Services Computing, SCC 2005
作者: Zhang, Zhao-Hui Liu, Da-You Liu, Wei-Jiang Key Laboratory of Symbolic Computing and Knowledge Engineering Jilin University Ministry of Education Changchun 130012 China
In workflow systems or other applications, users need more semantic information. Ontologies and semantic web are important technologies for managing semantic information. Our work is focused on semantic spatial inform... 详细信息
来源: 评论
A study on parallel semantics of constraint logic rograms
A study on parallel semantics of constraint logic rograms
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International Conference on Machine Learning and Cybernetics, ICMLC 2005
作者: Sun, Ji.-Gui Zhang, Yong-Gang College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory for Symbolic Computation and Knowledge Engineering Ministry of Education Changchun 130012 China
This paper presents two parallel semantics of constraint logic programs: multiset answer constraint semantics and game semantics, which differ entirely from the traditional semantics. When giving the first semantics, ... 详细信息
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A hidden markov model and immune particle swarm optimization-based algorithm for multiple sequence alignment
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18th Australian Joint Conference on Artificial Intelligence, AI 2005: Advances in Artificial Intelligence
作者: Ge, Hong-Wei Liang, Yan-Chun Jilin University Key Laboratory of Symbol Computation and Knowledge Engineering Ministry of Education Changchun 130012 China
Multiple sequence alignment (MSA) is a fundamental and challenging problem in the analysis of biologic sequences. In this paper, an immune particle swarm optimization (IPSO) is proposed, which is based on the models o... 详细信息
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Robust estimation of the fundamental matrix based on an error model
Robust estimation of the fundamental matrix based on an erro...
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International Conference on Machine Learning and Cybernetics, ICMLC 2005
作者: Zhong, Hui-Xiang Feng, Yue-Ping Pang, Yun-Jie Key Laboratory of Symbol Computation and Knowledge Engineering Jilin University Ministry of Education Changchun 130012 China
A new method is presented for robustly estimating fundamental matrix from matched points. The method comprises two parts. The first uses a robust technique-the random sample consensus (RANSAC) to discard outliers in a... 详细信息
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Mining maximal sequential patterns
Mining maximal sequential patterns
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2005 International Conference on Neural Networks and Brain Proceedings, ICNNB'05
作者: Guan, En-Zheng Chang, Xiao-Yu Wang, Zhe Zhou, Chun-Guang Key Laboratory of Symbol Computation and Knowledge Engineering Jilin University Ministry of Education Changchun 130012 China
To solve the problem that when patterns are long, frequent sequential patterns mining may generate an exponential number of results, which often makes decision-makers perplexed for there is too much useless repeated i... 详细信息
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Solving job-shop scheduling problems by a novel artificial immune system
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18th Australian Joint Conference on Artificial Intelligence, AI 2005: Advances in Artificial Intelligence
作者: Ge, Hong-Wei Sun, Liang Liang, Yan-Chun Key Laboratory of Symbol Computation and Knowledge Engineering Jilin University Ministry of Education Changchun 130012 China
The optimization of job-shop scheduling is very important because of its theoretical and practical significance. This paper proposes an efficient scheduling method based on artificial immune systems. In the proposed m... 详细信息
来源: 评论