咨询与建议

限定检索结果

文献类型

  • 611 篇 期刊文献
  • 597 篇 会议

馆藏范围

  • 1,208 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 856 篇 工学
    • 683 篇 计算机科学与技术...
    • 599 篇 软件工程
    • 180 篇 信息与通信工程
    • 99 篇 控制科学与工程
    • 88 篇 生物工程
    • 72 篇 生物医学工程(可授...
    • 60 篇 机械工程
    • 55 篇 化学工程与技术
    • 54 篇 电子科学与技术(可...
    • 45 篇 光学工程
    • 45 篇 电气工程
    • 27 篇 仪器科学与技术
    • 23 篇 交通运输工程
    • 22 篇 航空宇航科学与技...
    • 21 篇 土木工程
    • 16 篇 建筑学
    • 14 篇 网络空间安全
  • 476 篇 理学
    • 339 篇 数学
    • 106 篇 生物学
    • 81 篇 统计学(可授理学、...
    • 59 篇 物理学
    • 56 篇 化学
    • 34 篇 系统科学
  • 289 篇 管理学
    • 151 篇 管理科学与工程(可...
    • 144 篇 图书情报与档案管...
    • 44 篇 工商管理
  • 47 篇 医学
    • 39 篇 临床医学
    • 31 篇 基础医学(可授医学...
    • 26 篇 药学(可授医学、理...
  • 20 篇 农学
  • 17 篇 法学
    • 15 篇 社会学
  • 7 篇 经济学
  • 6 篇 教育学
  • 4 篇 艺术学
  • 3 篇 文学
  • 2 篇 军事学
  • 1 篇 哲学

主题

  • 66 篇 computer science
  • 57 篇 educational inst...
  • 53 篇 knowledge engine...
  • 53 篇 laboratories
  • 50 篇 educational tech...
  • 41 篇 data mining
  • 27 篇 semantics
  • 27 篇 computer science...
  • 27 篇 ontology
  • 21 篇 image segmentati...
  • 20 篇 feature extracti...
  • 16 篇 deep learning
  • 16 篇 genetic algorith...
  • 15 篇 reinforcement le...
  • 15 篇 artificial intel...
  • 14 篇 ontologies
  • 14 篇 topology
  • 14 篇 clustering algor...
  • 13 篇 support vector m...
  • 12 篇 neural networks

机构

  • 512 篇 college of compu...
  • 272 篇 key laboratory o...
  • 84 篇 key laboratory o...
  • 45 篇 college of softw...
  • 41 篇 key laboratory o...
  • 39 篇 school of artifi...
  • 35 篇 key laboratory o...
  • 32 篇 college of compu...
  • 29 篇 key laboratory o...
  • 24 篇 jilin university...
  • 21 篇 school of comput...
  • 20 篇 jilin university...
  • 19 篇 key laboratory o...
  • 19 篇 key laboratory o...
  • 17 篇 department of co...
  • 17 篇 key laboratory o...
  • 16 篇 jilin university...
  • 15 篇 key laboratory o...
  • 15 篇 the college of c...
  • 15 篇 key laboratory o...

作者

  • 46 篇 yang bo
  • 36 篇 liang yanchun
  • 35 篇 sun geng
  • 33 篇 ouyang dantong
  • 31 篇 dantong ouyang
  • 30 篇 li xiongfei
  • 28 篇 li ximing
  • 27 篇 liu dayou
  • 27 篇 ouyang jihong
  • 27 篇 zuo wanli
  • 26 篇 yanchun liang
  • 24 篇 bo yang
  • 24 篇 liu yanheng
  • 23 篇 niyato dusit
  • 23 篇 yanheng liu
  • 21 篇 li jiahui
  • 20 篇 guan renchu
  • 20 篇 huang lan
  • 20 篇 da-you liu
  • 19 篇 dayou liu

语言

  • 1,111 篇 英文
  • 50 篇 中文
  • 47 篇 其他
检索条件"机构=A Key Laboratory of Symbolic Computation and Knowledge Engineering"
1208 条 记 录,以下是191-200 订阅
排序:
Model for human dynamics based on habit
收藏 引用
Chinese Science Bulletin 2010年 第24期55卷 2744-2749页
作者: JIAO Yu LIU YanHeng WANG Jian WANG Jing College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun 130012 China Archives of Jilin University Changchun 130012 China
The quantitative understanding of human behavior is a central question of modern science. Because of the complexity of human behavior, it is almost impossible to seek regularities in human dynamics. It is assumed that... 详细信息
来源: 评论
Multiple Auxiliary Information Based Deep Model for Collaborative Filtering
收藏 引用
Journal of Computer Science & Technology 2018年 第4期33卷 668-681页
作者: Lin Yue Xiao-Xin Sun Wen-Zhu Gao Guo-Zhong Feng Bang-Zuo Zhang School of Information Science and Technology Northeast Normal University Changchun 130117 China Key Laboratory of Applied Statistics of Ministry of Education Northeast Normal University Changchun 130024 China School of Environment Northeast Normal University Changchun 130117 China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun 130012 China
With the ever-growing dynamicity, complexity, technique is proposed and becomes one of the most effective and volume of information resources, the recommendation techniques for solving the so-called problem of informa... 详细信息
来源: 评论
Analysis of Semi-Supervised Text Clustering Algorithm on Marine Data
收藏 引用
Computers, Materials & Continua 2020年 第7期64卷 207-216页
作者: Yu Jiang Dengwen Yu Mingzhao Zhao Hongtao Bai Chong Wang Lili He College of Computer Science and Technology Jilin UniversityChangchun130012China A Key Laboratory of Symbolic Computation and Knowledge Engineering Jilin UniversityChangchun130012China Department of Engineering Mechanics State Marine Technical University of St.PetersburgSt.Petersburg190008Russia
Semi-supervised clustering improves learning performance as long as it uses a small number of labeled samples to assist un-tagged samples for *** paper implements and compares unsupervised and semi-supervised clusteri... 详细信息
来源: 评论
Crossed-Time Delay Neural Network for Speaker Recognition  1
收藏 引用
27th International Conference on MultiMedia Modeling, MMM 2021
作者: Chen, Liang Liang, Yanchun Shi, Xiaoshu Zhou, You Wu, Chunguo Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education College of Computer Science and Technology Jilin University Changchun130012 China Zhuhai Laboratory of Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education School of Computer Zhuhai College of Jilin University Zhuhai519041 China
Time Delay Neural Network (TDNN) is a well-performing structure for deep neural network-based speaker recognition systems. In this paper we introduce a novel structure, named Crossed-Time Delay Neural Network (CTDNN) ... 详细信息
来源: 评论
Relating brain structure images to personality characteristics using 3D convolution neural network
收藏 引用
CAAI Transactions on Intelligence Technology 2021年 第3期6卷 338-346页
作者: Lixian Cao Yanchun Liang Wei Lv Kaechang Park Yasuhiro Miura Yuki Shinomiya Shinichi Yoshida Zhuhai Laboratory of Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education Zhuhai College of Jilin UniversityZhuhaiChina Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education College of Computer Science and TechnologyJilin UniversityChangchunChina School of Information&Research Institute Kochi University of TechnologyKochiJapan
The Keras deep learning framework is employed to study MRI brain data in a preliminary analysis of brain structure using a convolutional neural *** results obtained are matched with the content of personality *** Big ... 详细信息
来源: 评论
Attention Guided Enhancement Network for Weakly Supervised Semantic Segmentation
收藏 引用
Chinese Journal of Electronics 2023年 第4期32卷 896-907页
作者: ZHANG Zhe WANG Bilin YU Zhezhou ZHAO Fengzhi College of Computer Science and Technology Jilin University Key Laboratory for Symbol Computation and Knowledge Engineering of National Education Ministry
Weakly supervised semantic segmentation using only image-level labels is critical since it alleviates the need for expensive pixel-level labels. Most cuttingedge methods adopt two-step solutions that learn to produce ... 详细信息
来源: 评论
Recognizing event in short text based on decision tree
Recognizing event in short text based on decision tree
收藏 引用
作者: Lu, Jing Ya Zuo, Wan Li Zhu, Liang College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education of China China
Mining newsworthy events from a large number of microblogging information is not only the primary problem that several big microblogging websites need to solve, but also a new research field in micro-information age. ... 详细信息
来源: 评论
A model for representing topological relations between regions with holes
A model for representing topological relations between regio...
收藏 引用
1st International Conference on Information Science and engineering, ICISE2009
作者: Huo, Linlin Ouyang, Jihong Liu, Dayou College of Computer Science and Technology Jilin University China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China
This paper proposes a unified model - D9-intersection model to represent topological relations between regions with holes. D9-intersection model can describe simple regional relations as accurately as 9-intersection m... 详细信息
来源: 评论
A FAST AND SCALABLE SUPERVISED TOPIC MODEL USING STOCHASTIC VARIATIONAL INFERENCE AND MAPREDUCE  5
A FAST AND SCALABLE SUPERVISED TOPIC MODEL USING STOCHASTIC ...
收藏 引用
2016 5th IEEE International Conference on Network Infrastructure and Digital Content(IC-NIDC 2016)
作者: Wenzhuo Song Bo Yang Xuehua Zhao Fei Li Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University School of Digital Media Shenzhen Institute of Information Technology George Mason University
An important and widespread topic in cloud computing is text *** often use topic model which is a popular and effective technology to deal with related *** all the topic models,sLDA is acknowledged as a popular superv... 详细信息
来源: 评论
Hybrid Parameter Update: Alleviating Imbalance Impacts for Distributed Deep Learning  24
Hybrid Parameter Update: Alleviating Imbalance Impacts for D...
收藏 引用
24th IEEE International Conference on High Performance Computing and Communications, 8th IEEE International Conference on Data Science and Systems, 20th IEEE International Conference on Smart City and 8th IEEE International Conference on Dependability in Sensor, Cloud and Big Data Systems and Application, HPCC/DSS/SmartCity/DependSys 2022
作者: Li, Hongliang Xu, Dong Xu, Zhewen Li, Xiang College of Computer Science and Technology Jilin University Changchun130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education Changchun China
Nowadays, data parallelism has been widely applied to train large datasets on distributed deep learning clusters, but it has suffered from costly global parameter updates at batch barriers. Performance imbalance among... 详细信息
来源: 评论