咨询与建议

限定检索结果

文献类型

  • 444 篇 期刊文献
  • 205 篇 会议
  • 1 篇 学位论文
  • 1 篇 资讯

馆藏范围

  • 651 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 472 篇 工学
    • 261 篇 计算机科学与技术...
    • 146 篇 软件工程
    • 131 篇 电气工程
    • 89 篇 信息与通信工程
    • 58 篇 控制科学与工程
    • 20 篇 仪器科学与技术
    • 20 篇 生物工程
    • 18 篇 安全科学与工程
    • 17 篇 生物医学工程(可授...
    • 16 篇 机械工程
    • 16 篇 电子科学与技术(可...
    • 12 篇 土木工程
    • 12 篇 化学工程与技术
    • 9 篇 光学工程
  • 442 篇 理学
    • 355 篇 数学
    • 347 篇 统计学(可授理学、...
    • 49 篇 生物学
    • 38 篇 物理学
    • 25 篇 系统科学
    • 11 篇 化学
    • 8 篇 地球物理学
  • 67 篇 管理学
    • 40 篇 管理科学与工程(可...
    • 15 篇 工商管理
    • 15 篇 图书情报与档案管...
    • 9 篇 公共管理
  • 50 篇 医学
    • 26 篇 临床医学
    • 17 篇 基础医学(可授医学...
    • 8 篇 公共卫生与预防医...
  • 25 篇 经济学
    • 21 篇 应用经济学
  • 15 篇 农学
  • 8 篇 法学
    • 8 篇 社会学
  • 4 篇 教育学
  • 3 篇 文学

主题

  • 651 篇 expectation maxi...
  • 20 篇 maximum likeliho...
  • 16 篇 gaussian mixture...
  • 15 篇 parameter estima...
  • 14 篇 expectation-maxi...
  • 13 篇 hidden markov mo...
  • 11 篇 maximum likeliho...
  • 9 篇 system identific...
  • 9 篇 image segmentati...
  • 9 篇 kalman filter
  • 7 篇 mixture models
  • 7 篇 missing data
  • 6 篇 hidden markov mo...
  • 6 篇 channel estimati...
  • 5 篇 multiple models
  • 5 篇 clustering
  • 5 篇 bayesian informa...
  • 5 篇 expectation maxi...
  • 5 篇 em algorithm
  • 4 篇 maximum likeliho...

机构

  • 4 篇 institute of aco...
  • 3 篇 univ alberta dep...
  • 3 篇 imt school for a...
  • 3 篇 school of mathem...
  • 3 篇 school of automa...
  • 3 篇 univ melbourne d...
  • 2 篇 department of au...
  • 2 篇 tsinghua univers...
  • 2 篇 mcmaster univ de...
  • 2 篇 zhongtai securit...
  • 2 篇 zhejiang univ co...
  • 2 篇 northeastern uni...
  • 2 篇 univ so calif in...
  • 2 篇 univ atacama fac...
  • 2 篇 department of ma...
  • 2 篇 vinai research v...
  • 2 篇 jiangnan univ sc...
  • 2 篇 center for machi...
  • 2 篇 univ so calif de...
  • 2 篇 department of ch...

作者

  • 7 篇 huang biao
  • 6 篇 krishnamurthy v
  • 6 篇 orlando danilo
  • 5 篇 hao chengpeng
  • 5 篇 shlezinger nir
  • 5 篇 elliott rj
  • 4 篇 yan linjie
  • 4 篇 doerschuk peter ...
  • 4 篇 schmid luca
  • 4 篇 schmalen laurent
  • 4 篇 raviv tomer
  • 3 篇 osoba osonde
  • 3 篇 kim inyoung
  • 3 篇 yu chengpu
  • 3 篇 paliwal kk
  • 3 篇 ge zhiqiang
  • 3 篇 si xiaosheng
  • 3 篇 pal suvra
  • 3 篇 lei chen
  • 3 篇 kosko bart

语言

  • 538 篇 英文
  • 107 篇 其他
  • 5 篇 中文
  • 1 篇 日文
检索条件"主题词=Expectation Maximization Algorithm"
651 条 记 录,以下是421-430 订阅
排序:
Robust EM algorithms for Markov modulated Poisson processes
Robust EM algorithms for Markov modulated Poisson processes
收藏 引用
39th IEEE Conference on Decision and Control
作者: Elliott, RJ Malcolm, WP Univ Alberta Dept Math Sci Edmonton AB T6G 21 Canada
In this article we consider robust filtering and smoothing for Markov Modulated Poisson Processes (MMPPs). Using the EM algorithm, these filters and smoothers can be applied to estimate the parameters of our model. Ou... 详细信息
来源: 评论
Optimal Transport for Structure Learning Under Missing Data  41
Optimal Transport for Structure Learning Under Missing Data
收藏 引用
41st International Conference on Machine Learning, ICML 2024
作者: Vo, Vy Zhao, He Le, Trung Bonilla, Edwin V. Phung, Dinh Monash University Australia CSIRO's Data61 Australia VinAI Research Viet Nam
Causal discovery in the presence of missing data introduces a chicken-and-egg dilemma. While the goal is to recover the true causal structure, robust imputation requires considering the dependencies or, preferably, ca... 详细信息
来源: 评论
Deep SBL Network-Based DOA Estimation for Nested Array with Mutual Coupling
Deep SBL Network-Based DOA Estimation for Nested Array with ...
收藏 引用
IET International Radar Conference 2023, IRC 2023
作者: Su, Xiaolong Gong, Zhenghui Hu, Panhe Liu, Tianpeng Liu, Zhen College of Electronic Science and Technology National University of Defense Technology Changsha410073 China
Recently, deep unfolding networks have been widely used in direction of arrival (DOA) estimation because of the improved estimation accuracy and reduced computational cost. However, few consider the existence of neste... 详细信息
来源: 评论
An expectation-Realization Model for Metaphor Detection  4
An Expectation-Realization Model for Metaphor Detection
收藏 引用
4th Workshop on Figurative Language Processing, FigLang 2024
作者: Uduehi, Oseremen O. Bunescu, Razvan C. School of EECS Ohio University AthensOH45701 United States Department of Computer Science University of North Carolina at Charlotte CharlotteNC28223 United States
We propose a new model for metaphor detection in which an expectation component estimates representations of expected word meanings in a given context, whereas a realization component computes representations of targe... 详细信息
来源: 评论
Learning Input Driven Dynamic Bayesian Networks with Measurement Noise  23
Learning Input Driven Dynamic Bayesian Networks with Measure...
收藏 引用
23rd IEEE International Conference on Machine Learning and Applications, ICMLA 2024
作者: Veres, David Li, Ping Kadirkamanathan, Visakan The University of Sheffield Department of Automatic Control and Systems Engineering Sheffield United Kingdom
Dynamic Bayesian Networks (DBNs) are useful tools for modelling complex systems whose network representations can be elicited a priori or learnt from data. In this paper, a maximum likelihood Doubly-Iterative Expectat... 详细信息
来源: 评论
The Forward-Reverse Greedy algorithm for Distributed Submodular maximization  63
The Forward-Reverse Greedy Algorithm for Distributed Submodu...
收藏 引用
63rd IEEE Conference on Decision and Control, CDC 2024
作者: Tackett, Justin Grimsman, David Brigham Young University Provo Computer Science Department UT United States
This work addresses submodular maximization problems, a widely-used mathematical tool to model many real-world decisions. Though this set of problems is NP-Hard, a well-known result is that a distributed greedy algori... 详细信息
来源: 评论
Multiple Target Detection in Radar Systems: A Hybrid Approach Combining EM Clustering and Sparsity-based Reconstruction
Multiple Target Detection in Radar Systems: A Hybrid Approac...
收藏 引用
2024 IEEE International Workshop on Technologies for Defense and Security, TechDefense 2024
作者: Sun, Jiarui Hao, Chengpeng Yan, Linjie Orlando, Danilo Institute of Acoustics Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China Università di Pisa Dipartimento di Ingegneria dell'Informazione Pisa Italy
This paper addresses the challenge of detecting multiple targets embedded in Gaussian noise with unknown range positions and angles of arrival. To this end, we introduce the signal classification model of interest res... 详细信息
来源: 评论
Learning Staged Trees from Incomplete Data  12
Learning Staged Trees from Incomplete Data
收藏 引用
12th International Conference on Probabilistic Graphical Models, PGM 2024
作者: Carter, Jack Storror Leonelli, Manuele Riccomagno, Eva Varando, Gherardo Dipartimento di Matematica Università degli Studi di Genova Genova Italy School of Science and Technology IE University Madrid Spain Image Processing Laboratory Universitat de València València Spain
Staged trees are probabilistic graphical models capable of representing any class of non-symmetric independence via a coloring of their vertices. Several structural learning routines have been defined and implemented ... 详细信息
来源: 评论
SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning  41
SimPro: A Simple Probabilistic Framework Towards Realistic L...
收藏 引用
41st International Conference on Machine Learning, ICML 2024
作者: Du, Chaoqun Han, Yizeng Huang, Gao Department of Automation BNRist Tsinghua University Beijing China
Recent advancements in semi-supervised learning have focused on a more realistic yet challenging task: addressing imbalances in labeled data while the class distribution of unlabeled data remains both unknown and pote... 详细信息
来源: 评论
Lunar Surface Target Detection Based on Improved YOLOv8  5
Lunar Surface Target Detection Based on Improved YOLOv8
收藏 引用
5th International Conference on Intelligent Computing and Human-Computer Interaction, ICHCI 2024
作者: Yang, Yu Wang, Zhen-Wei Zhao, Han Zhang, Zi-Yu School of Astronautics and Aeronautics University of Electronic Science & Technology of China Chengdu611731 China
In lunar exploration and research, the accurate identification and localization of lunar surface features is of great scientific significance and application value. However, target detection in lunar surface images fa... 详细信息
来源: 评论