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检索条件"机构=A Key Laboratory of Symbolic Computation and Knowledge Engineering"
1208 条 记 录,以下是1051-1060 订阅
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Heterogeneous deep web data extraction using ontology evolution
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Journal of Convergence Information Technology 2010年 第8期5卷 23-23页
作者: Chen, Kerui Zhao, Jinchao Zuo, Wanli He, Fengling Chen, Yongheng College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education Changchun China School of Computer and Communication Engineering Zhengzhou University of Light Industry Zhengzhou 450002 China
This paper proposed a complex ontology evolution based method of extracting data, and also completely designed an extraction system, which consists of four important components: Resolver, Extractor, Consolidator and t... 详细信息
来源: 评论
An Efficient Method for Very Large Scale Out-of-Core Terrain Visualization
An Efficient Method for Very Large Scale Out-of-Core Terrain...
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International Conference on Artificial Reality and Telexistence (ICAT)
作者: Huijie Zhang Jigui Sun Haihong Yu Changsong Qi College of Computer Science Northeast Normal University China College of Computer Science and Technology Jilin University China Key Laboratory of Symbol Computation and Knowledge Engineering Ministry of Education China
Large scale terrain visualization with high- resolution has an increasing demand in many research fields. To realize the efficient rendering of terrain, this paper presents an out-of-core terrain visualization method ... 详细信息
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A Multi-Agent Deep Reinforcement Learning Method for Fully Noisy Observations
SSRN
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SSRN 2023年
作者: Wang, Kaiyu Zhang, Menglin Qu, Bohao Wang, Xianchang College of Computer Science and Technology Jilin University Jilin Changchun130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin Changchun130012 China School of Artificial Intelligence Jilin University Jilin Changchun130012 China Chengdu Kestrel Artificial Intelligence Institute Chengdu611730 China
Multi-agent reinforcement learning (MARL) algorithms have achieved great breakthroughs in many aspects. The MARL algorithms can learn effective policies in ideal simulation environments. But different from the ideal s... 详细信息
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Operon Prediction by Markov Clustering
Operon Prediction by Markov Clustering
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2011·国际基因组学大会
作者: Wei Du Zhongbo Cao Yan Wang Enrico Blanzieri Chen Zhang Yanchun Liang College of Mathematics Jilin University Changchun 130012 China Department of Information and Communication Technology University of Trento Povo 38050 Italy College of Computer Science and Technology Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education Jilin University Changchun 130012 China College of Computer Science and Technology Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education Jilin University Changchun 130012 China
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Implicit knowledge discovery in biomedical ontologies: Computing interesting relatednesses
Implicit knowledge discovery in biomedical ontologies: Compu...
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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
作者: Tian Bai Leiguang Gong Casimir A. Kulikowski Lan Huang Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China College of Computer Science and Technology Jilin University Changchun China Yantai Intelligent Information Technologies Ltd. Yantai China Department of Computer Science Rutgers The State University of New Jersey Piscataway NJ USA
Ontologies, seen as effective representations for sharing and reusing knowledge, have become increasingly important in biomedicine, usually focusing on taxonomic knowledge specific to a subject. Efforts have been made... 详细信息
来源: 评论
Adaptive and iterative gene selection based on least squares support vector regression
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Journal of Information and computational Science 2006年 第3期3卷 443-451页
作者: Jiang, Jingqing Wu, Chunguo Song, Chuyi Liang, Yanchun Key Laboratory of Symbol Computation and Knowledge Engineering College of Computer Science and Technology Jilin University Changchun 130012 China College of Mathematics and Computer Science Inner Mongolia University for Nationalities Tongliao 028043 China Key Laboratory of Information Science and Engineering of Railway Ministry The Key Laboratory of Advanced Information Science and Network Technology of Beijing Beijing Jiaotong University Beijing 100044 China
Cancer classification and identification are major areas in medical research. DNA microarrays could provide useful information for cancer classification at the gene expression level. The number of genes in a microarra... 详细信息
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IInfoGAN: Improved Information Maximizing Generative Adversarial Networks
IInfoGAN: Improved Information Maximizing Generative Adversa...
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International Conference on Mechanical, Control and Computer engineering (ICMCCE)
作者: Yan Wang Pujia Wang Boyang Sun Kai He Lan Huang School of Artificial Intelligence Jilin University Changchun China Key Laboratory of Symbol Computation and Knowledge Engineering College of Computer Science and Technology Jilin University Ministry of Education Changchun China
Generative Adversarial Networks (GANs) have achieved huge success in some unsupervised learning fields. There is no doubt that clustering takes a lot of weight in unsupervised algorithm. And in this paper, we raise th... 详细信息
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Hyperbolic node embedding for signed networks
arXiv
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arXiv 2019年
作者: Song, Wenzhuo Chen, Hongxu Liu, Xueyan Jiang, Hongzhe Wang, Shengsheng College of Computer Science and Technology Jilin University Changchun130012 China Key Laboratory of Symbolic Computation Knowledge Engineering of Ministry of Education Jilin University Changchun130012 China Advanced Analytics Institute School of Computer Science Faculty of Engineering and IT University of Technology Sydney NSW2007 Australia College of Mechanical and Electronic Engineering Nanjing Forestry University Nanjing210037 China
Signed network embedding methods aim to learn vector representations of nodes in signed networks. However, existing algorithms only managed to embed networks into low-dimensional Euclidean spaces whereas many intrinsi... 详细信息
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Approximated non-tensor pre-wavelets neural network based on compound training algorithm
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Journal of Information and computational Science 2005年 第4期2卷 715-722页
作者: Li, Ying Deng, Zhidong Zou, Xi Key Laboratory of Intelligent Technology and Systems Department of Computer Science and Technology Tsinghua University Beijing 100084 China Key Laboratory of Symbol Computation and Knowledge Engineering College of Computer Science and Technology Jilin University Changchun 130021 China Institute of Mathematics Jilin University Changchun 130021 China
In this paper, we propose a new supervised compound learning algorithm for training our constructed approximated bivariate non-tensor product adaptive pre-wavelet neural network (APWNN). On the one hand, the linear we... 详细信息
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Using spatial clustering in precision agriculture
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Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology 2005年 第SUPPL. 4期37卷 31-34页
作者: Wang, Sheng-Sheng Liu, Da-You Liu, Jie Wang, Xin-Ying Key Laboratory of Symbolic Computing and Knowledge Engineering College of Computer Science and Technology Jilin University Changchun 130012 China
There are lots of data with multidimensional attributes and spatial position information in precision agriculture applications. Based on the high dimensional spatial clustering algorithm, the agriculture breed partiti... 详细信息
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