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检索条件"主题词=Expectation Maximization Algorithm"
643 条 记 录,以下是571-580 订阅
排序:
Hidden Markov Models for Multivariate Panel Data
arXiv
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arXiv 2024年
作者: Neal, Mackenzie R. Sochaniwsky, Alexa A. McNicholas, Paul D. Department of Mathematics & Statistics McMaster University ON Canada
While advances continue to be made in model-based clustering, challenges persist in modeling various data types such as panel data. Multivariate panel data present difficulties for clustering algorithms because they a... 详细信息
来源: 评论
Confirmation Bias in Gaussian Mixture Models
arXiv
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arXiv 2024年
作者: Balanov, Amnon Bendory, Tamir Huleihel, Wasim
Confirmation bias, the tendency to interpret information in a way that aligns with one's preconceptions, can profoundly impact scientific research, leading to conclusions that reflect the researcher's hypothes... 详细信息
来源: 评论
A FLEXIBLE MODEL FOR RECORD LINKAGE
arXiv
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arXiv 2024年
作者: Robach, Kayané van der Pas, Stéphanie L. van de Wiel, Mark A. Hof, Michel H. Department of Epidemiology and Data Science Amsterdam UMC location Vrije Universiteit Amsterdam De Boelelaan 1117 Amsterdam1081 HV Netherlands Amsterdam Public Health Methodology Netherlands
Combining data from various sources empowers researchers to explore innovative questions, for example those raised by conducting healthcare monitoring studies. However, the lack of a unique identifier often poses chal... 详细信息
来源: 评论
Horseshoe-type Priors for Independent Component Estimation
arXiv
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arXiv 2024年
作者: Datta, Jyotishka Polson, Nicholas G. Department of Statistics Virginia Tech United States Booth School of Business University of Chicago United States
Independent Component Estimation (ICE) has many applications in modern day machine learning as a feature engineering extraction method. Horseshoe-type priors are used to provide scalable algorithms that enables both p... 详细信息
来源: 评论
Bayesian Variable Selection and Sparse Estimation for High-Dimensional Graphical Models
arXiv
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arXiv 2024年
作者: Chakravarti, Anwesha Narisetty, Naveen N. Liang, Feng University of Illinois at Urbana Champaign Department of Statistics United States
We introduce a novel Bayesian approach for both covariate selection and sparse precision matrix estimation in the context of high-dimensional Gaussian graphical models involving multiple responses. Our approach provid... 详细信息
来源: 评论
Mini-batch Submodular maximization
arXiv
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arXiv 2024年
作者: Schwartzman, Gregory JAIST Japan
We present the first mini-batch algorithm for maximizing a non-negative monotone decomposable submodular function, (Equation presented), under a set of constraints. We consider two sampling approaches: uniform and wei... 详细信息
来源: 评论
BAYESIAN EXPERIMENTAL DESIGN VIA CONTRASTIVE DIFFUSIONS
arXiv
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arXiv 2024年
作者: Iollo, Jacopo Heinkelé, Christophe Alliez, Pierre Forbes, Florence Université Grenoble Alpes Inria CNRS G-INP France Cerema Endsum Strasbourg France Université Côte d’Azur Inria France
Bayesian Optimal Experimental Design (BOED) is a powerful tool to reduce the cost of running a sequence of experiments. When based on the Expected Information Gain (EIG), design optimization corresponds to the maximiz... 详细信息
来源: 评论
Optimizing Adaptive Experiments: A Unified Approach to Regret Minimization and Best-Arm Identification
arXiv
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arXiv 2024年
作者: Qin, Chao Russo, Daniel Columbia University United States
Practitioners conducting adaptive experiments often encounter two competing priorities: maximizing total welfare (or 'reward') through effective treatment assignment and swiftly concluding experiments to imple... 详细信息
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Research on Network Self-protection System Model and Its Security Event Correlation Engine
Research on Network Self-protection System Model and Its Sec...
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2010 International Conference on Services Science, Management and Engineering (SSME 2010)
作者: Hongyu Yang School of Computer Science and Technology Civil Aviation University of China Tianjin 300300,China Dongming Wang School of Computer Science and Technology Civil Aviation University of China Tianjin 300300,China Chuangxi Chen Dep.of ground maintenance China Southern Airlines Co.Ltd. Guangzhou 510406,China
Manual analysis of security events inevitably results in a large number of attacks can not being detected timely This paper presents a new network self-protection system model,gives its architecture and designs its in... 详细信息
来源: 评论
Policy Choice in Time Series by Empirical Welfare maximization
arXiv
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arXiv 2022年
作者: Kitagawa, Toru Wang, Weining Xu, Mengshan Department of Economics Brown University United States Department of Economics University College London United Kingdom Faculty of economics and business University of Groningen Netherlands Department of Economics University of Mannheim Germany
This paper develops a novel method for policy choice in a dynamic setting where the available data is a multi-variate time series. Building on the statistical treatment choice framework, we propose Time-series Empiric... 详细信息
来源: 评论