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检索条件"主题词=Expectation Maximization Algorithm"
643 条 记 录,以下是601-610 订阅
排序:
Non-stationary and Sparsely-correlated Multi-output Gaussian Process with Spike-and-Slab Prior
arXiv
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arXiv 2024年
作者: Wang, Xinming Li, Yongxiang Yue, Xiaowei Wu, Jianguo Department of Industrial Engineering and Management Peking University China Department of Industrial Engineering and Management Shanghai Jiaotong University China Department of Industrial Engineering Tsinghua University China
Multi-output Gaussian process (MGP) is commonly used as a transfer learning method to leverage information among multiple outputs. A key advantage of MGP is providing uncertainty quantification for prediction, which i... 详细信息
来源: 评论
Robust Object Detection and Tracking Using a Space-Temporal Mutual Feedback Scheme
Robust Object Detection and Tracking Using a Space-Temporal ...
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2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop(KAM 2008)
作者: Xuchao Li College of Information Science and Media Jinggangshan University Ji’an,ChinaSuxuan Bian College of Nursing Jinggangshan University Ji’an,China
A statistical object detection and tracking mutual feedback scheme,combining Gaussian mixture model (GMM) based on principal component analysis (PCA) and expectation maximization (EM) Kalman filter algorithm,is propos... 详细信息
来源: 评论
DiFuseR: A Distributed Sketch-based Influence maximization algorithm for GPUs
arXiv
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arXiv 2024年
作者: Göktürk, Gökhan Kaya, Kamer Faculty of Engineering and Natural Sciences Sabancı University Istanbul34956 Turkey Center of Excellence in Data Analytics Sabancı University Turkey
Influence maximization (IM) aims to find a given number of "seed" vertices that can effectively maximize the expected spread under a given diffusion model. Due to the NP-Hardness of finding an optimal seed s... 详细信息
来源: 评论
Online Influence maximization with Semi-Bandit Feedback under Corruptions
arXiv
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arXiv 2024年
作者: Cheng, Xiaotong Nourani-Koliji, Behzad Maghsudi, Setareh The Department of Electrical Engineering and Information Technology Ruhr-University Bochum Bochum44801 Germany The Department of Computer Science University of Tübingen Tübingen72074 Germany The Department of Electrical Engineering and Information Technology Ruhr-University Bochum Bochum44801 Germany The Fraunhofer Heinrich Hertz Institute Berlin10587 Germany
In this work, we investigate the online influence maximization in social networks. Most prior research studies on online influence maximization assume that the nodes are fully cooperative and act according to their st... 详细信息
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Prophet Inequalities: Separating Random Order from Order Selection
arXiv
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arXiv 2023年
作者: Giambartolomei, Giordano Mallmann-Trenn, Frederik Saona, Raimundo King’s College London United Kingdom Institute of Science and Technology Austria
Prophet inequalities are a central object of study in optimal stopping theory. A gambler is sent values in an online fashion, sampled from an instance of independent distributions, in an adversarial, random or selecte... 详细信息
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Simultaneous Estimation of Many Sparse Networks via Hierarchical Poisson Log-Normal Model
arXiv
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arXiv 2024年
作者: Ge, Changhao Li, Hongzhe Graduate Group of Applied Mathematics and Computational Science University of Pennsylvania United States Department of Biostatistics Epidemiology and Informatics University of Pennsylvania United States
The advancement of single-cell RNA-sequencing (scRNA-seq) technologies allow us to study the individual level cell-type-specific gene expression networks by direct inference of genes’ conditional independence structu... 详细信息
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Multi-modal Image and Radio Frequency Fusion for Optimizing Vehicle Positioning
arXiv
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arXiv 2024年
作者: Huan, Ouwen Luo, Tao Chen, Mingzhe Beijing Laboratory of Advanced Information Network Beijing University of Posts and Telecommunications Beijing100876 China Department of Electrical and Computer Engineering Institute for Data Science and Computing University of Miami Coral GablesFL33146 United States
In this paper, a multi-modal vehicle positioning framework that jointly localizes vehicles with channel state information (CSI) and images is designed. In particular, we consider an outdoor scenario where each vehicle... 详细信息
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EM algorithms for optimization problems with polynomial objectives
arXiv
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arXiv 2024年
作者: Asai, Kensuke Gotoh, Jun-Ya Coincheck Inc. Tokyo Japan Department of Data Science for Business Innovation Chuo University Tokyo Japan
The EM (expectation-maximization) algorithm is regarded as an MM (Majorization-Minimization) algorithm for maximum likelihood estimation of statistical models. Expanding this view, this paper demonstrates that by choo... 详细信息
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GreediRIS: Scalable Influence maximization using Distributed Streaming Maximum Cover
arXiv
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arXiv 2024年
作者: Barik, Reet Cappa, Wade Ferdous, S.M. Minutoli, Marco Halappanavar, Mahantesh Kalyanaraman, Ananth Washington State University WA99164 United States Pacific Northwest National Laboratory RichlandWA99354 United States
Influence maximization—the problem of identifying a subset of k influential seeds (vertices) in a network—is a classical problem in network science with numerous applications. The problem is NP-hard, but there exist... 详细信息
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Fearless Stochasticity in expectation Propagation
arXiv
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arXiv 2024年
作者: So, Jonathan Turner, Richard E. University of Cambridge United Kingdom The Alan Turing Institute
expectation propagation (EP) is a family of algorithms for performing approximate inference in probabilistic models. The updates of EP involve the evaluation of moments-expectations of certain functions-which can be e... 详细信息
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