咨询与建议

限定检索结果

文献类型

  • 685 篇 期刊文献
  • 95 篇 会议

馆藏范围

  • 780 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 492 篇 理学
    • 350 篇 数学
    • 212 篇 统计学(可授理学、...
    • 91 篇 生物学
    • 90 篇 物理学
    • 54 篇 系统科学
    • 32 篇 化学
    • 19 篇 地球物理学
  • 476 篇 工学
    • 306 篇 计算机科学与技术...
    • 255 篇 软件工程
    • 84 篇 信息与通信工程
    • 62 篇 控制科学与工程
    • 62 篇 生物工程
    • 46 篇 生物医学工程(可授...
    • 32 篇 电子科学与技术(可...
    • 30 篇 光学工程
    • 25 篇 电气工程
    • 25 篇 化学工程与技术
    • 21 篇 动力工程及工程热...
    • 16 篇 安全科学与工程
    • 15 篇 力学(可授工学、理...
    • 14 篇 机械工程
  • 117 篇 管理学
    • 68 篇 图书情报与档案管...
    • 44 篇 管理科学与工程(可...
    • 30 篇 工商管理
  • 83 篇 医学
    • 62 篇 临床医学
    • 45 篇 基础医学(可授医学...
    • 31 篇 公共卫生与预防医...
    • 21 篇 药学(可授医学、理...
  • 27 篇 法学
    • 25 篇 社会学
  • 22 篇 经济学
    • 20 篇 应用经济学
  • 17 篇 农学
  • 11 篇 教育学

主题

  • 15 篇 machine learning
  • 12 篇 covid-19
  • 11 篇 deep neural netw...
  • 10 篇 convolution
  • 10 篇 stochastic syste...
  • 9 篇 deep learning
  • 9 篇 statistics
  • 9 篇 clustering algor...
  • 8 篇 galaxies
  • 8 篇 forecasting
  • 8 篇 convolutional ne...
  • 7 篇 regression analy...
  • 7 篇 image segmentati...
  • 7 篇 sampling
  • 6 篇 adversarial mach...
  • 5 篇 qubits
  • 5 篇 support vector m...
  • 5 篇 cosmological par...
  • 5 篇 self-supervised ...
  • 5 篇 markov processes

机构

  • 36 篇 department of st...
  • 34 篇 department of ap...
  • 24 篇 department of ap...
  • 19 篇 center for appli...
  • 16 篇 department of ap...
  • 15 篇 department of st...
  • 14 篇 department of ap...
  • 13 篇 school of mathem...
  • 12 篇 department of ap...
  • 10 篇 department of in...
  • 10 篇 graduate group i...
  • 9 篇 department of ap...
  • 9 篇 department of st...
  • 8 篇 school of statis...
  • 8 篇 institute of cos...
  • 8 篇 department of st...
  • 8 篇 department of ap...
  • 7 篇 beijing advanced...
  • 7 篇 institute for as...
  • 7 篇 department of el...

作者

  • 19 篇 park daniel k.
  • 17 篇 villar soledad
  • 15 篇 jin ick hoon
  • 14 篇 de neve wesley
  • 12 篇 saeys yvan
  • 10 篇 jeong seonghyun
  • 10 篇 zhou feng
  • 10 篇 park jaewoo
  • 9 篇 jeon minjeong
  • 9 篇 kim ilmun
  • 9 篇 ozbulak utku
  • 8 篇 dobriban edgar
  • 8 篇 du qiang
  • 8 篇 hogg david w.
  • 8 篇 zhang zhichao
  • 7 篇 brill ryan s.
  • 7 篇 vankerschaver jo...
  • 7 篇 hassani hamed
  • 7 篇 han jie
  • 7 篇 huang jian

语言

  • 705 篇 英文
  • 72 篇 其他
  • 2 篇 中文
检索条件"机构=Applied Statistics and Data Science"
780 条 记 录,以下是11-20 订阅
排序:
Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regression  25
Task Diversity in Bayesian Federated Learning: Simultaneous ...
收藏 引用
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and data Mining V.1
作者: Junliang Lyu Yixuan Zhang Xiaoling Lu Feng Zhou Center for Applied Statistics and School of Statistics Renmin University of China Beijing China School of Statistics and Data Science Southeast University Nanjing China Center for Applied Statistics and School of Statistics Renmin University of China Beijing China & Innovation Platform Renmin University of China Beijing China Center for Applied Statistics and School of Statistics Renmin University of China Beijing China & Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing Beijing China
This work addresses a key limitation in current federated learning approaches, which predominantly focus on homogeneous tasks, neglecting the task diversity on local devices. We propose a principled integration of mul... 详细信息
来源: 评论
Improved Image Classification with Manifold Neural Networks
Improved Image Classification with Manifold Neural Networks
收藏 引用
International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Caio F. Deberaldini Netto Zhiyang Wang Luana Ruiz Department of Applied Mathematics and Statistics Mathematical Institute for Data Science (MINDS) Data Science and Artificial Intelligence Institute (DSAI) Johns Hopkins University Baltimore USA Department of Electrical and Systems Engineering University of Pennsylvania Philadelphia USA
Graph Neural Networks (GNNs) have gained popularity in various learning tasks, with successful applications in fields like molecular biology, transportation systems, and electrical grids. These fields naturally use gr... 详细信息
来源: 评论
Analyzing Classroom Interaction data Using Prompt Engineering and Network Analysis
arXiv
收藏 引用
arXiv 2025年
作者: Kim, Gwanghee Jin, Ick Hoon Jeon, Minjeong Department of Statistics and Data Science Yonsei University Korea Republic of Department of Applied Statistics Yonsei University Korea Republic of School of Education and Information Studies University of California Los Angeles United States
Classroom interactions play a vital role in developing critical thinking, collaborative problem-solving abilities, and enhanced learning outcomes. While analyzing these interactions is crucial for improving educationa... 详细信息
来源: 评论
ESTIMATING UNBOUNDED DENSITY RATIOS: APPLICATIONS IN ERROR CONTROL UNDER COVARIATE SHIFT
arXiv
收藏 引用
arXiv 2025年
作者: Xu, Shuntuo Yu, Zhou Huang, Jian School of Statistics East China Normal University China Departments of Data Science and Artificial Intelligence Applied Mathematics The Hong Kong Polytechnic University Hong Kong
The density ratio is an important metric for evaluating the relative likelihood of two probability distributions, with extensive applications in statistics and machine learning. However, existing estimation theories f... 详细信息
来源: 评论
Modified least squares ratio estimator for autocorrelated data: Estimation and prediction
收藏 引用
Journal of Computational Mathematics and data science 2025年 14卷
作者: Poojari, Satyanarayana Acharya, Sachin Varun Kumar, S.G. Serrao, Vinitha Department of Applied Statistics and Data Science Prasanna School of Public Health Manipal Academy of Higher Education Manipal Karnataka 576104 India
Autocorrelated errors in regression models make ordinary least squares (OLS) estimators inefficient, potentially leading to the misinterpretation of test procedures. Generalized least squares (GLS) estimation is a mor... 详细信息
来源: 评论
Principal Graph Encoder Embedding and Principal Community Detection
arXiv
收藏 引用
arXiv 2025年
作者: Shen, Cencheng Dong, Yuexiao Priebe, Carey E. Larson, Jonathan Trinh, Ha Park, Youngser Department of Applied Economics and Statistics University of Delaware United States Department of Statistics Operations and Data Science Temple University United States Microsoft Research at Redmond WA United States Johns Hopkins University United States
In this paper, we introduce the concept of principal communities and propose a principal graph encoder embedding method that concurrently detects these communities and achieves vertex embedding. Given a graph adjacenc... 详细信息
来源: 评论
Local geometry of high-dimensional mixture models: Effective spectral theory and dynamical transitions
arXiv
收藏 引用
arXiv 2025年
作者: Arous, Gerard Ben Gheissari, Reza Huang, Jiaoyang Jagannath, Aukosh Courant Institute New York University United States Department of Mathematics Northwestern University United States Department of Statistics and Data Science University of Pennsylvania United States Department of Statistics and Actuarial Science Department of Applied Mathematics Cheriton School of Computer Science University of Waterloo Canada
We study the local geometry of empirical risks in high dimensions via the spectral theory of their Hessian and information matrices. We focus on settings where the data, (Y)n=1 ∈ d, are i.i.d. draws of a k-component ... 详细信息
来源: 评论
Advancements on multi-fidelity random Fourier neural networks: application to hurricane modeling for offshore wind energy
Advancements on multi-fidelity random Fourier neural network...
收藏 引用
AIAA science and Technology Forum and Exposition, AIAA SciTech Forum 2025
作者: Davis, Owen Geraci, Gianluca Wentz, Jacqueline M. King, Ryan N. Cortiella, Alexandre Rybchuk, Alex Gomez, Miguel Sanchez Deskos, Georgios Motamed, Mohammad Optimization and Uncertainty Quantification Sandia National Laboratories AlbuquerqueNM United States Computational Data Science Sandia National Laboratories LivermoreCA United States National Wind Technology Center National Renewable Energy Laboratory GoldenCO United States Department of Applied Mathematics and Statistics University of New Mexico AlbuquerqueNM United States
Multi-fidelity approaches are emerging as effective strategies in computational science to handle otherwise intractable tasks like Uncertainty Quantification (UQ), training of Machine Learning (ML) models, and optimiz... 详细信息
来源: 评论
Conditional Independence Test Based on Transport Maps
arXiv
收藏 引用
arXiv 2025年
作者: He, Chenxuan Gao, Yuan Zhu, Liping Huang, Jian Institute of Statistics and Big Data Renmin University of China Beijing China Department of Data Science and AI The Hong Kong Polytechnic University Hong Kong Department of Applied Mathematics The Hong Kong Polytechnic University Hong Kong
Testing conditional independence between two random vectors given a third is a fundamental and challenging problem in statistics, particularly in multivariate nonparametric settings due to the complexity of conditiona... 详细信息
来源: 评论
Identifying Critical Tokens for Accurate Predictions in Transformer-based Medical Imaging Models
arXiv
收藏 引用
arXiv 2025年
作者: Kang, Solha Vankerschaver, Joris Ozbulak, Utku Center for Biosystems and Biotech Data Science Ghent University Global Campus Korea Republic of Department of Applied Mathematics Computer Science and Statistics Ghent University Belgium Department of Electronics and Information Systems Ghent University Belgium
With the advancements in self-supervised learning (SSL), transformer-based computer vision models have recently demonstrated superior results compared to convolutional neural networks (CNNs) and are poised to dominate... 详细信息
来源: 评论