咨询与建议

限定检索结果

文献类型

  • 704 篇 期刊文献
  • 337 篇 会议

馆藏范围

  • 1,041 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 760 篇 工学
    • 645 篇 计算机科学与技术...
    • 178 篇 电气工程
    • 131 篇 软件工程
    • 65 篇 信息与通信工程
    • 45 篇 控制科学与工程
    • 22 篇 环境科学与工程(可...
    • 20 篇 机械工程
    • 20 篇 生物工程
    • 16 篇 动力工程及工程热...
    • 14 篇 交通运输工程
    • 9 篇 仪器科学与技术
    • 9 篇 石油与天然气工程
    • 8 篇 土木工程
    • 6 篇 光学工程
  • 197 篇 管理学
    • 146 篇 管理科学与工程(可...
    • 57 篇 工商管理
    • 36 篇 图书情报与档案管...
    • 7 篇 公共管理
  • 187 篇 理学
    • 113 篇 数学
    • 47 篇 统计学(可授理学、...
    • 37 篇 生物学
    • 23 篇 物理学
    • 10 篇 系统科学
  • 76 篇 经济学
    • 53 篇 应用经济学
    • 26 篇 理论经济学
  • 60 篇 医学
    • 47 篇 临床医学
    • 32 篇 基础医学(可授医学...
    • 10 篇 公共卫生与预防医...
  • 11 篇 农学
  • 10 篇 法学
    • 7 篇 社会学
  • 9 篇 教育学
    • 9 篇 教育学
  • 2 篇 文学

主题

  • 48 篇 deep learning
  • 40 篇 support vector m...
  • 39 篇 machine learning
  • 32 篇 feature extracti...
  • 29 篇 training
  • 23 篇 classification
  • 22 篇 task analysis
  • 20 篇 support vector m...
  • 19 篇 multi-view learn...
  • 19 篇 semantics
  • 18 篇 optimization
  • 18 篇 data mining
  • 17 篇 kernel
  • 16 篇 object detection
  • 16 篇 correlation
  • 16 篇 data models
  • 15 篇 computational mo...
  • 14 篇 feature selectio...
  • 13 篇 covid-19
  • 13 篇 graph neural net...

机构

  • 444 篇 chinese acad sci...
  • 254 篇 univ chinese aca...
  • 228 篇 chinese acad sci...
  • 155 篇 key laboratory o...
  • 133 篇 school of econom...
  • 104 篇 univ chinese aca...
  • 82 篇 research center ...
  • 79 篇 univ chinese aca...
  • 55 篇 univ chinese aca...
  • 53 篇 chinese acad sci...
  • 46 篇 univ nebraska co...
  • 37 篇 univ chinese aca...
  • 35 篇 univ chinese aca...
  • 35 篇 peng cheng lab p...
  • 34 篇 school of comput...
  • 34 篇 univ chinese aca...
  • 31 篇 research center ...
  • 30 篇 school of mathem...
  • 26 篇 beijing key lab ...
  • 24 篇 renmin univ chin...

作者

  • 186 篇 shi yong
  • 146 篇 huang qingming
  • 146 篇 tian yingjie
  • 72 篇 xu qianqian
  • 52 篇 yang zhiyong
  • 51 篇 qi zhiquan
  • 46 篇 cao xiaochun
  • 45 篇 yong shi
  • 42 篇 guo kun
  • 42 篇 li guorong
  • 42 篇 niu lingfeng
  • 39 篇 liu ying
  • 34 篇 long wen
  • 33 篇 tang jingjing
  • 32 篇 wen ji-rong
  • 30 篇 zhang sanguo
  • 29 篇 fu saiji
  • 29 篇 dou zhicheng
  • 24 篇 tian xin
  • 24 篇 wu xindong

语言

  • 1,018 篇 英文
  • 19 篇 其他
  • 3 篇 中文
  • 1 篇 德文
  • 1 篇 法文
  • 1 篇 意大利文
检索条件"机构=Key Lab on Big Data Mining and Knowledge Management"
1041 条 记 录,以下是151-160 订阅
排序:
AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation
arXiv
收藏 引用
arXiv 2024年
作者: Han, Boyu Xu, Qianqian Yang, Zhiyong Bao, Shilong Wen, Peisong Jiang, Yangbangyan Huang, Qingming Key Lab. of Intelligent Information Processing Institute of Computing Technology CAS China School of Computer Science and Tech. University of Chinese Academy of Sciences China Peng Cheng Laboratory China Key Laboratory of Big Data Mining and Knowledge Management CAS China
The Area Under the ROC Curve (AUC) is a well-known metric for evaluating instance-level long-tail learning problems. In the past two decades, many AUC optimization methods have been proposed to improve model performan... 详细信息
来源: 评论
A comprehensive survey on regularization strategies in machine learning
收藏 引用
INFORMATION FUSION 2022年 80卷 146-166页
作者: Tian, Yingjie Zhang, Yuqi Univ Chinese Acad Sci Sch Econ & Management Beijing 100190 Peoples R China Univ Chinese Acad Sci Sch Math Sci Beijing 100049 Peoples R China Chinese Acad Sci Res Ctr Fictitious Econ & Data Sci Beijing 100190 Peoples R China Chinese Acad Sci Key Lab Big Data Min & Knowledge Management Beijing 100190 Peoples R China
In machine learning, the model is not as complicated as possible. Good generalization ability means that the model not only performs well on the training data set, but also can make good prediction on new data. Regula... 详细信息
来源: 评论
Literature Review and Practice Comparison of Technology Foresight
收藏 引用
Procedia Computer Science 2022年 199卷 837-844页
作者: Zhao Minghui Ye Hanrui Peng Yao Zhang Lingling School of Economics and Management University of Chinese Academy of Sciences Beijing 100190 China Key Laboratory of Big Data Mining and Knowledge Management Chinese Academy of Sciences Beijing 100190 China
With continuous breakthrough of key technologies, common technologies, emerging technologies, cross technologies, and subversive technologies, which have brought profound changes to politics, economy, society, culture... 详细信息
来源: 评论
Method for Improving the Performance of Technical Analysis Indicators By Neural Network Models
收藏 引用
COMPUTATIONAL ECONOMICS 2022年 第3期59卷 1027-1068页
作者: Shi, Yong Li, Bo Long, Wen Dai, Wei Univ Chinese Acad Sci Sch Econ & Management Beijing 100190 Peoples R China Chinese Acad Sci Res Ctr Fictitious Econ & Data Sci Beijing 100190 Peoples R China Chinese Acad Sci Key Lab Big Data Min & Knowledge Management Beijing 100190 Peoples R China Southwest Minzu Univ Coll Elect & Informat Engn Chengdu 610041 Peoples R China
Technical analysis indicators are widely used in the field of quantitative investment, and they are usually utilized to assist in the search for profitable buy and sell points. In order to make better use of technical... 详细信息
来源: 评论
Literature Review and Practice Comparison of Technology Foresight  8
Literature Review and Practice Comparison of Technology Fore...
收藏 引用
8th International Conference on Information Technology and Quantitative management, ITQM 2020 and 2021
作者: Minghui, Zhao Hanrui, Ye Yao, Peng Lingling, Zhang School of Economics and Management University of Chinese Academy of Sciences Beijing100190 China Key Laboratory of Big Data Mining and Knowledge Management Chinese Academy of Sciences Beijing100190 China
With continuous breakthrough of key technologies, common technologies, emerging technologies, cross technologies, and subversive technologies, which have brought profound changes to politics, economy, society, culture... 详细信息
来源: 评论
Cost-sensitive learning with modified Stein loss function
收藏 引用
NEUROCOMPUTING 2023年 第1期525卷 57-75页
作者: Fu, Saiji Tian, Yingjie Tang, Jingjing Liu, Xiaohui Beijing Univ Posts & Telecommun Sch Econ & Management Beijing 100876 Peoples R China Univ Chinese Acad Sci Sch Econ & Management Beijing 100190 Peoples R China Chinese Acad Sci Res Ctr Fictitious Econ & Data Sci Beijing 100190 Peoples R China Chinese Acad Sci Key Lab Big Data Min & Knowledge Management Beijing 100190 Peoples R China MOE Social Sci Lab Digital Econ Forecasts & Policy Beijing 100190 Peoples R China Southwestern Univ Finance & Econ Fac Business Adm Sch Business Adm Sichuan 611130 Peoples R China Brunel Univ London Dept Comp Sci London UB8 3PH England
Cost-sensitive learning (CSL), which has gained widespread attention in class imbalance learning (CIL), can be implemented either by tuning penalty parameters or by designing new loss functions. In this paper, we prop... 详细信息
来源: 评论
Movie Recommendation Algorithm Based on Sentiment Analysis and LDA
收藏 引用
Procedia Computer Science 2022年 199卷 871-878页
作者: Yilin Zhang Lingling Zhang School of Economics and Management University of Chinese Academy of Sciences Beijing 100190 China Key Laboratory of Big Data Mining and Knowledge Management Chinese Academy of Sciences Beijing 100190 China
Traditional recommendation algorithms have problems such as data sparseness and not paying attention to the diversity of recommendation results. In this paper, we use LDA to extract topics of comments about movies, an... 详细信息
来源: 评论
ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection  38
ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Det...
收藏 引用
38th AAAI Conference on Artificial Intelligence (AAAI) / 36th Conference on Innovative Applications of Artificial Intelligence / 14th Symposium on Educational Advances in Artificial Intelligence
作者: He, Junwei Xu, Qianqian Jiang, Yangbangyan Wang, Zitai Huang, Qingming Chinese Acad Sci Inst Comp Technol Key Lab Intelligent Informat Proc Beijing Peoples R China Univ Chinese Acad Sci Sch Comp Sci & Technol Beijing Peoples R China Chinese Acad Sci Inst Informat Engn Beijing Peoples R China Univ Chinese Acad Sci Sch Cyber Secur Beijing Peoples R China Chinese Acad Sci Key Lab Big Data Min & Knowledge Management Beijing Peoples R China
Graph anomaly detection is crucial for identifying nodes that deviate from regular behavior within graphs, benefiting various domains such as fraud detection and social network. Although existing reconstruction-based ... 详细信息
来源: 评论
Digital economy, technical change and total factor productivity: Empirical evidence from high-tech industry in China
收藏 引用
TELECOMMUNICATIONS POLICY 2024年 第9期48卷
作者: Zhang, Linyan Hu, Chunyu Guo, Chuanyin Wang, Jianguo Beijing Informat Sci & Technol Univ Sch Econ & Management Beijing 100192 Peoples R China Res Ctr Knowledge Management Beijing 100192 Peoples R China Beijing Key Lab Green Dev Decis Based Big Data Beijing 100192 Peoples R China
This study uses the Hicks-Moorsteen index method to examine the impact mechanism of the digital economy on the total factor productivity and its decomposition efficiencies of the hightech industry in China. The result... 详细信息
来源: 评论
Rethinking Collaborative Metric Learning: Toward an Efficient Alternative Without Negative Sampling
收藏 引用
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 2023年 第1期45卷 1017-1035页
作者: Bao, Shilong Xu, Qianqian Yang, Zhiyong Cao, Xiaochun Huang, Qingming Chinese Acad Sci Inst Informat Engn State Key Lab Informat Secur SKLOIS Beijing 100093 Peoples R China Univ Chinese Acad Sci Sch Cyber Secur Beijing 100049 Peoples R China Chinese Acad Sci Inst Comp Technol Key Lab Intelligent Informat Proc Beijing 100190 Peoples R China Univ Chinese Acad Sci Sch Comp Sci & Technol Beijing 101408 Peoples R China Univ Chinese Acad Sci Key Lab Big Data Min & Knowledge Management BDKM Sch Comp Sci & Technol Beijing 101408 Peoples R China Peng Cheng Lab Shenzhen 518055 Peoples R China
The recently proposed Collaborative Metric Learning (CML) paradigm has aroused wide interest in the area of recommendation systems (RS) owing to its simplicity and effectiveness. Typically, the existing literature of ... 详细信息
来源: 评论