咨询与建议

限定检索结果

文献类型

  • 163 篇 会议
  • 106 篇 期刊文献

馆藏范围

  • 269 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 192 篇 工学
    • 150 篇 计算机科学与技术...
    • 136 篇 软件工程
    • 33 篇 信息与通信工程
    • 26 篇 生物医学工程(可授...
    • 23 篇 生物工程
    • 21 篇 控制科学与工程
    • 15 篇 化学工程与技术
    • 11 篇 电子科学与技术(可...
    • 10 篇 机械工程
    • 10 篇 光学工程
    • 7 篇 电气工程
    • 6 篇 建筑学
    • 5 篇 仪器科学与技术
    • 5 篇 土木工程
    • 4 篇 交通运输工程
    • 3 篇 农业工程
  • 126 篇 理学
    • 91 篇 数学
    • 31 篇 生物学
    • 22 篇 统计学(可授理学、...
    • 18 篇 物理学
    • 16 篇 化学
    • 4 篇 系统科学
  • 59 篇 管理学
    • 33 篇 图书情报与档案管...
    • 30 篇 管理科学与工程(可...
    • 10 篇 工商管理
  • 14 篇 医学
    • 14 篇 临床医学
    • 12 篇 基础医学(可授医学...
    • 11 篇 药学(可授医学、理...
  • 9 篇 农学
    • 6 篇 作物学
  • 4 篇 法学
    • 4 篇 社会学
  • 2 篇 经济学
  • 1 篇 教育学
  • 1 篇 军事学

主题

  • 19 篇 data mining
  • 18 篇 educational inst...
  • 17 篇 computer science
  • 16 篇 knowledge engine...
  • 12 篇 laboratories
  • 11 篇 educational tech...
  • 10 篇 semantics
  • 10 篇 ontology
  • 9 篇 image segmentati...
  • 9 篇 clustering algor...
  • 8 篇 support vector m...
  • 7 篇 genetic algorith...
  • 7 篇 feature extracti...
  • 6 篇 deep learning
  • 6 篇 neural networks
  • 6 篇 computer science...
  • 5 篇 ant colony optim...
  • 5 篇 hidden markov mo...
  • 5 篇 ontologies
  • 5 篇 convolution

机构

  • 63 篇 college of compu...
  • 19 篇 key laboratory o...
  • 15 篇 key laboratory o...
  • 13 篇 key laboratory o...
  • 12 篇 key laboratory o...
  • 12 篇 key laboratory o...
  • 12 篇 key laboratory o...
  • 12 篇 key laboratory o...
  • 11 篇 key laboratory o...
  • 10 篇 college of softw...
  • 10 篇 department of co...
  • 9 篇 key laboratory o...
  • 9 篇 key laboratory f...
  • 9 篇 college of compu...
  • 8 篇 key laboratory o...
  • 6 篇 school of artifi...
  • 6 篇 college of compu...
  • 6 篇 college of compu...
  • 5 篇 institute of hig...
  • 5 篇 key laboratory o...

作者

  • 27 篇 liang yanchun
  • 21 篇 yanchun liang
  • 12 篇 zuo wanli
  • 11 篇 li xiongfei
  • 10 篇 wu chunguo
  • 9 篇 yan wang
  • 8 篇 han xiaosong
  • 8 篇 wang yan
  • 8 篇 li wenhui
  • 8 篇 wanli zuo
  • 8 篇 chunguang zhou
  • 8 篇 liang yan-chun
  • 7 篇 wei du
  • 6 篇 li huiying
  • 6 篇 shi xiaohu
  • 6 篇 jindong zhang
  • 6 篇 xiaosong han
  • 6 篇 zhou you
  • 6 篇 yan-chun liang
  • 6 篇 guo xiaoxin

语言

  • 254 篇 英文
  • 15 篇 中文
检索条件"机构=Open Symbol Computation and Knowledge Engineering Laboratory"
269 条 记 录,以下是231-240 订阅
排序:
An adaptive multi-heuristic ant colony system for finding optimal elimination orderings in Bayesian networks
An adaptive multi-heuristic ant colony system for finding op...
收藏 引用
International Conference on Electrical engineering, Computing Science and Automatic Control (CCE)
作者: Xuchu Dong Yonggang Zhang Dianbo Cai Haihong Yu Yuxin Ye Department of Computer Science and Technology Jilin University Changchun Jilin China Key Laboratory of Symbol Computation and Knowledge Engineering Ministry of Education Changchun Jilin China Network Monitor Maintenance Centre China Telecom Corporation Limited Changchun Jilin China
To find an optimal elimination ordering for Bayesian networks, a multi-heuristic-based ant colony system named MHC-HS-ACS is proposed. MHC-HS-ACS uses a set of heuristics to guide the ants to search solutions. The heu... 详细信息
来源: 评论
Cooperative coevolutionary genetic algorithms to find optimal elimination orderings for Bayesian networks
Cooperative coevolutionary genetic algorithms to find optima...
收藏 引用
International Conference on Bio-Inspired Computing: Theories and Applications, BICTA
作者: Xuchu Dong HaiHong Yu Dantong Ouyang Dianbo Cai Yuxin Ye Yonggang Zhang Department of Computer Science and Technology Jilin University Changchun Jilin China Key Laboratory of Symbol Computation and Knowledge Engineering Ministry of Education Changchun Jilin China Network Monitor Maintenance Centre China Telecom Corporation Limited Changchun Jilin China
According to the characteristics of the optimal elimination ordering problem in Bayesian networks, a heuristic-based genetic algorithm, a cooperative coevolutionary genetic framework and five grouping schemes are prop... 详细信息
来源: 评论
MI-CAT: A Transformer-Based Domain Adaptation Network for Motor
SSRN
收藏 引用
SSRN 2023年
作者: Zhang, Dongxue Li, Huiying Xie, Jingmeng Jilin University College of Computer Science and Technology Jilin Province Changchun China Key Laboratory of Symbol Computation and Knowledge Engineering Jilin University Changchun130012 China Xi’an Jiaotong University College of Electronic information Shanxi Province Xi’an China
Due to its convenience and safety, electroencephalography (EEG) data is one of the most widely used signals in motor imagery (MI) brain-computer interfaces (BCIs). In recent years, methods based on deep learning have ... 详细信息
来源: 评论
A hybrid discrete PSO-SA algorithm to find optimal elimination orderings for Bayesian networks
A hybrid discrete PSO-SA algorithm to find optimal eliminati...
收藏 引用
International Conference on Industrial and Information Systems, IIS
作者: Xuchu Dong Dantong Ouyang Dianbo Cai Yonggang Zhang Yuxin Ye Department of Computer Science and Technology Jilin University Changchun Jilin China Key Laboratory of Symbol Computation and Knowledge Engineering Ministry of Education Changchun Jilin China Network Monitor Maintenance Centre China Telecom Corporation Limited Changchun Jilin China
In this paper, a hybrid algorithm named DPSOSA is proposed to find near-to-optimal elimination orderings in Bayesian networks. DPSO-SA is a discrete particle swarm optimization method enhanced by simulated annealing. ... 详细信息
来源: 评论
A novel multi-task learning network for skin lesion classification based on multi-modal clues and label-level fusion
收藏 引用
Computers in Biology and Medicine 2024年 175卷 108549-108549页
作者: Lin, Qifeng Guo, Xiaoxin Feng, Bo Guo, Juntong Ni, Shuang Dong, Hongliang Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education Jilin University 2699 Qianjin Street Changchun130012 China College of Computer Science and Technology Jilin University 2699 Qianjin Street Changchun130012 China College of Software Jilin University 2699 Qianjin Street Changchun130012 China
In this paper, we propose a multi-task learning (MTL) network based on the label-level fusion of metadata and hand-crafted features by unsupervised clustering to generate new clustering labels as an optimization goal.... 详细信息
来源: 评论
Event Prediction Model Combining Ordinary Differential Equation and Hypernetworks
SSRN
收藏 引用
SSRN 2023年
作者: Zhang, Junhe Ma, Fuyuan Wang, Xin Yang, Bo Wang, Ying College of Computer Science and Technology Jilin University Jilin Changchun130012 China College of Artificial Intelligence Jilin University Jilin Changchun130012 China Key Laboratory of Symbol Computation and Knowledge Engineering Jilin University Ministry of Education Jilin Changchun130012 China
Modeling the temporal evolution patterns of network events is crucial for enhancing user experience and creating commercial value. Existing methods combine graph neural networks and time-series models to capture spati... 详细信息
来源: 评论
Translating Query for Deep Web Using Ontology
Translating Query for Deep Web Using Ontology
收藏 引用
International Conference on Computer Science and Software engineering
作者: Hao Liang Wanli Zuo Fei Ren Junhua Wang College of Computer Science and Technology Department of Technology Jilin University Changchun Taxation China College of Computer Science and Technology Key Laboratory of Symbol Computation andKnowledge Engineering of the Ministry of Education Jilin University China College of Computer Science and Technology Jilin University Changchun China College of Computer Science and Technology Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Changchun China
The e-commerce information on the surface Web is supported by the Deep Web, which can not be accessed directly by the search engines or the Web crawlers. The only way to access the backend database is through query in... 详细信息
来源: 评论
Self-organization based divide and conquer algorithm for distributed constraint optimization problems
收藏 引用
Jisuanji Yanjiu yu Fazhan/Computer Research and Development 2008年 第11期45卷 1831-1839页
作者: Huang, Jing Liu, Dayou Yang, Bo Jin, Di College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory of Symbol Computation and Knowledge Engineering Jilin University Changchun 130012 China
Distributed constraint optimization problem (DCOP) is a kind of optimization problem oriented to large-scale, open and dynamic network environments, which has been widely applied in many fields such as computational g... 详细信息
来源: 评论
An improved genetic algorithm to optimize vehicle scheduling for relief efforts
收藏 引用
International Journal of Performability engineering 2019年 第9期15卷 2356-2363页
作者: Zhou, You Sun, Lecheng Zhou, Xu Parmar, Milan Wang, Liupu College of Computer Science and Technology Jilin University Changchun130012 China Key Laboratory of Symbol Computation Knowledge Engineering of Ministry of Education Jilin University Changchun130012 China Cancer Hospital Attached Xinjiang Medical University Urumqi830000 China Faculty of Engineering and Computing Coventry University CoventryCV1 5FB United Kingdom
The vehicle scheduling problem is a typical multi-objective optimization problem. It is a core logistics dispatching problem and the key to realize system optimization. Optimizing vehicle scheduling for relief efforts... 详细信息
来源: 评论
Text Categorization Method Based on Improved Mutual Information and Characteristic Weights Evaluation Algorithms
Text Categorization Method Based on Improved Mutual Informat...
收藏 引用
International Conference on Fuzzy Systems and knowledge Discovery (FSKD)
作者: Zhili Pei Xiaohu Shi Maurizio Marchese Yanchun Liang College of Computer Science and Technology Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education Jilin University Changchun China College of Mathematics & Computer Science National University of Inner Mongolia Tongliao China Department of Information and Communication Technology University of Trento Povo TN USA
The improvement of text categorization by statistical methods can be performed from two main directions, namely the feature selection and the evaluation of characteristic weights. In this paper, we propose an enhanced... 详细信息
来源: 评论