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检索条件"机构=Key Laboratory of Symbolic Computing and Knowledge Engineering"
1026 条 记 录,以下是191-200 订阅
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A new epistasis detecting algorithm based on ant colony optimization  14
A new epistasis detecting algorithm based on ant colony opti...
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6th International Conference on Internet Multimedia computing and Service, ICIMCS 2014
作者: Zhou, Zhihui Liu, Guixia Su, Lingtao Han, Liang Yan, Lun College of Computer Science and Technology Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun 130012 China
The rapid developments of chip-based technology have greatly improved human genetics and made routine the access of thousands of single nucleotide polymorphisms (SNPs) contributing to an informatics challenge. The cha... 详细信息
来源: 评论
Research and implementation of improved real-time crawler modeling
Research and implementation of improved real-time crawler mo...
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International Conference on Electrical Information and Mechatronics, ICEIM 2012
作者: Zuo, Xianglin Wang, Wenbo Wang, Ying Zuo, Wanli College of Computer Science and Technology Jilin University Changchun China Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education China
The past decade has witnessed the rapid development of search engines, which has become an indispensable part of everyday life. However, people are no longer satisfied with accessing to ordinary information, and they ... 详细信息
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Strengthened Initialization of Adaptive Cross-Generation Differential Evolution
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Computer Modeling in engineering & Sciences 2022年 第3期130卷 1495-1516页
作者: Wei Wan Gaige Wang Junyu Dong Department of Computer Science of Technology Ocean University of ChinaQingdao266100China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin UniversityChangchun130012China Guangxi Key Laboratory of Hybrid Computation and IC Design Analysis Guangxi University for NationalitiesNanning530006China
Adaptive Cross-Generation Differential Evolution(ACGDE)is a recently-introduced algorithm for solving multiobjective problems with remarkable performance compared to other evolutionary algorithms(EAs).However,its conv... 详细信息
来源: 评论
computing PUR of Zero-Dimensional Ideals of Breadth at Most One
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Journal of Systems Science & Complexity 2021年 第6期34卷 2396-2409页
作者: PAN Jian SHANG Baoxin LI Zhe ZHANG Shugong School of Mathematics Key Laboratory of Symbolic Computation and Knowledge Engineering(Ministry of Education)Jilin UniversityChangchun 130012China College of Science Northeast Electric Power UniversityJilin 132012China School of Science Changchun University of Science and TechnologyChangchun 130022China
In this paper,for a zero-dimensional polynomial ideal I,the authors prove that k[x_(1),x_(2),…,x_(n)]/I is cyclic if and only if the breadth of I is 0 or ***,the authors present a new algorithm to compute polynomial ... 详细信息
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Learning the structure of dynamic bayesian network with domain knowledge
Learning the structure of dynamic bayesian network with doma...
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2012 International Conference on Machine Learning and Cybernetics, ICMLC 2012
作者: Chen, Juan Jia, Haiyang Huang, Yuxiao Liu, Dayou College of Computer Science and Technology Key Laboratory for Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun 130012 China
Dynamic Bayesian Network (DBN) is a graphical model for representing temporal stochastic processes. Learning the structure of DBN is a fundamental step for parameter learning, inference and application. For large scal... 详细信息
来源: 评论
RMADV-Hop: An improved DV-Hop localization algorithm
RMADV-Hop: An improved DV-Hop localization algorithm
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7th International Conference on Information Technology - New Generations, ITNG 2010
作者: Yi, Tingting Fang, Zhiyi Li, Ruixue College of Computer Science and Technology Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Changchun 130012 China
In recent years, with the development of the wireless sensor networks, the localization method receives the attention of many researchers. However, due to the network cost and characteristics of sensor nodes, most of ... 详细信息
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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
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A BRS-based approach for modeling RFID untraceability
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International Journal of Advancements in computing Technology 2011年 第11期3卷 96-103页
作者: Jialiang, He Dantong, Ouyang Youjun, Xu College of Computer Science and Technology Jilin University China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University China College of Computer Science and Information Technology Daqing Normal University China
Untraceability is an important aspect of RFID security. A BRS-based approach for modeling RFID untraceability is provided in this paper. Elements in a RFID protocol can be represented as bigraphs, communications betwe... 详细信息
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Detecting epistasis by LASSO-penalized-model search algorithm in human Genome-Wide Association Studies
Detecting epistasis by LASSO-penalized-model search algorith...
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4th International Conference on Materials Science and Information Technology, MSIT 2014
作者: Zhou, Zhi Hui Liu, Gui Xia Su, Ling Tao Han, Liang Yan, Lun College of Computer Science and Technology Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun 130012 China
Extensive studies have shown that many complex diseases are influenced by interaction of certain genes, while due to the limitations and drawbacks of adopting logistic regression (LR) to detect epistasis in human Geno... 详细信息
来源: 评论
Learning essential graph with immune co-evolutionary algorithm
Learning essential graph with immune co-evolutionary algorit...
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International Conference on Information Science, Signal Processing and Their Applications
作者: Jia, Haiyang Chen, Juan Liu, Dayou College of Computer Science and Technology Key Laboratory for Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun Jilin 130012 China
Essential graph is a graphical representation for Markov equivalence classes of Bayesian networks. Learning essential graph can avoid some problems in traditional Bayesian networks learning algorithms: (1) the number ... 详细信息
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