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检索条件"主题词=expectation maximization algorithm"
643 条 记 录,以下是371-380 订阅
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Sparse high-dimensional linear mixed modeling with a partitioned empirical Bayes ECM algorithm
arXiv
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arXiv 2023年
作者: Zgodic, Anja Bai, Ray Zhang, Jiajia Olejua, Peter McLain, Alexander C. Department of Epidemiology and Biostatistics University of South Carolina United States Department of Statistics University of South Carolina United States
High-dimensional longitudinal data is increasingly used in a wide range of scientific studies. To properly account for dependence between longitudinal observations, statistical methods for high-dimensional linear mixe... 详细信息
来源: 评论
Quantifying predictive uncertainty of aphasia severity in stroke patients with sparse heteroscedastic Bayesian high-dimensional regression
arXiv
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arXiv 2023年
作者: Zgodic, Anja Bai, Ray Zhang, Jiajia Wang, Yuan Rorden, Chris McLain, Alexander C. Department of Epidemiology and Biostatistics University of South Carolina South Carolina United States Department of Statistics University of South Carolina South Carolina United States Department of Psychology University of South Carolina South Carolina United States
Sparse linear regression methods for high-dimensional data commonly assume that residuals have constant variance, which can be violated in practice. For example, Aphasia Quotient (AQ) is a critical measure of language... 详细信息
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The Principle of Uncertain Maximum Entropy
arXiv
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arXiv 2023年
作者: Bogert, Kenneth Kothe, Matthew Department of Computer Science University of North Carolina Asheville 1 University Heights AshevilleNC28801 United States
The principle of maximum entropy is a well-established technique for choosing a distribution that matches available information while minimizing bias. It finds broad use across scientific disciplines and in machine le... 详细信息
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Extended target tracking with mobility based on GPR-AUKF
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Heliyon 2024年 第23期10卷 e40506页
作者: Zhang, Renli Zhang, Yan Chen, Jintao Sun, Ziwen Li, Jing Tan, Zhuangbin Jiao, Zhongxing School of Aeronautics and Astronautics Sun Yat-sen University Shenzhen 518107 China School of Electronics and Communication Engineering Sun Yat-sen University Shenzhen 518107 China
Simultaneously estimating the kinematic state and extent of extended targets is a nonlinear and high-dimensional problem. While the extended Kalman filter (EKF) is widely employed to achieve this goal, it may not be s... 详细信息
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Causal Temporal Regime Structure Learning
arXiv
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arXiv 2023年
作者: Rahmani, Abdellah Frossard, Pascal LTS4 EPFL Lausanne Switzerland
Understanding causal relationships in multivariate time series is essential for predicting and controlling dynamic systems in fields like economics, neuroscience, and climate science. However, existing causal discover... 详细信息
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Achieving Margin maximization Exponentially Fast via Progressive Norm Rescaling
arXiv
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arXiv 2023年
作者: Wang, Mingze Min, Zeping Wu, Lei School of Mathematical Sciences Peking University Beijing China Center for Machine Learning Research Peking University Beijing China
In this work, we investigate the margin-maximization bias exhibited by gradient-based algorithms in classifying linearly separable data. We present an in-depth analysis of the specific properties of the velocity field... 详细信息
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Gibbs optimal design of experiments
arXiv
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arXiv 2023年
作者: Overstall, Antony M. Holloway-Brown, Jacinta McGree, James M. School of Mathematical Sciences University of Southampton SouthamptonSO17 1BJ United Kingdom School of Computer and Mathematical Sciences University of Adelaide Adelaide5005 Australia School of Mathematical Sciences Queensland University of Technology Brisbane4001 Australia
Bayesian optimal design is a well-established approach to planning experiments. A distribution for the responses, i.e. a statistical model, is assumed which is dependent on unknown parameters. A utility function is th... 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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Outlier-Insensitive Kalman Filtering: Theory and Applications
arXiv
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arXiv 2023年
作者: Truzman, Shunit Revach, Guy Shlezinger, Nir Klein, Itzik The Hatter Dept. of Marine Technologies University of Haifa Haifa Israel D-ITET ETH Zürich Switzerland The School of ECE Ben-Gurion University of the Negev Be’er Sheva Israel
State estimation of dynamical systems from noisy observations is a fundamental task in many applications. It is commonly addressed using the linear Kalman filter (KF), whose performance can significantly degrade in th... 详细信息
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Discriminative Entropy Clustering and its Relation to K-means and SVM
arXiv
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arXiv 2023年
作者: Zhang, Zhongwen Rex Boykov, Yuri University of Waterloo Canada
maximization of mutual information between the model’s input and output is formally related to "decisiveness" and "fairness" of the softmax predictions [1], motivating these unsupervised entropy-b... 详细信息
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