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检索条件"主题词=Undirected Graphical Model"
20 条 记 录,以下是1-10 订阅
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modelling the spatial distribution of heavy vehicle loads on long-span bridges based on undirected graphical model
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STRUCTURE AND INFRASTRUCTURE ENGINEERING 2019年 第11期15卷 1485-1499页
作者: Chen, Zhicheng Bao, Yuequan Chen, Jiahui Li, Hui Harbin Inst Technol Minist Ind & Informat Technol Key Lab Intelligent Disaster Mitigat Harbin Heilongjiang Peoples R China Harbin Inst Technol Minist Educ Key Lab Struct Dynam Behav & Control Harbin Heilongjiang Peoples R China Harbin Inst Technol Sch Civil Engn Harbin Heilongjiang Peoples R China
Vehicle load modelling is highly important for bridge design and safety evaluation. Conventional modelling approaches for vehicle loads have limitations in characterizing the spatial distribution of vehicles. This art... 详细信息
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The multimedia recommendation algorithm based on probability graphical model
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MULTIMEDIA TOOLS AND APPLICATIONS 2022年 第14期81卷 19035-19050页
作者: Li, Chen Li, Yu Wang, Chunhua Dong, Shifeng Gao, Haofei Zhao, Qian Wu, Wei Commun Univ China Beijing Peoples R China Beijing Aerosp Changfeng Sci & Ind Grp Beijing Peoples R China
In the multimedia big data, the demand for personalized multimedia recommendation algorithm is increasing to ease the multimedia information overload. The multimedia recommendation system has been applied in various i... 详细信息
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Negative binomial graphical model with excess zeros
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STATISTICAL ANALYSIS AND DATA MINING 2021年 第5期14卷 449-465页
作者: Park, Beomjin Choi, Hosik Park, Changyi Univ Seoul Dept Stat Seoul South Korea Univ Seoul Grad Sch Dept Urban Big Data Convergence Seoul South Korea
Markov random field or undirected graphical models (GM) are a popular class of GM useful in various fields because they provide an intuitive and interpretable graph expressing the complex relationship between random v... 详细信息
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Estimation of nonparanormal graphical models based on ranked set sampling (RSS)
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JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION 2023年 第6期93卷 932-955页
作者: Aghabozorgi, Hamid Haji Eskandari, Farzad Allameh Tabatabai Univ Dept Stat Tehran Iran
Gaussian graphical model, which assumes that the variables of interest jointly follow a multivariate normal distribution with a sparse precision matrix, has been widely used to study the intrinsic dependence between t... 详细信息
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Bayesian model selection for high-dimensional Ising models, with applications to educational data
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COMPUTATIONAL STATISTICS & DATA ANALYSIS 2022年 165卷 107325-107325页
作者: Park, Jaewoo Jin, Ick Hoon Schweinberger, Michael Yonsei Univ Dept Stat & Data Sci Seoul South Korea Yonsei Univ Dept Appl Stat Seoul South Korea Univ Missouri Dept Stat Columbia MO 65211 USA
Doubly-intractable posterior distributions arise in many applications of statistics concerned with discrete and dependent data, including physics, spatial statistics, machine learning, the social sciences, and other f... 详细信息
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On generating random Gaussian graphical models
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INTERNATIONAL JOURNAL OF APPROXIMATE REASONING 2020年 125卷 240-250页
作者: Cordoba, Irene Varando, Gherardo Bielza, Concha Larranaga, Pedro Univ Politecn Madrid Madrid Spain Univ Copenhagen Copenhagen Denmark
Structure learning methods for covariance and concentration graphs are often validated on synthetic models, usually obtained by randomly generating: (i) an undirected graph, and (ii) a compatible symmetric positive de... 详细信息
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Estimating finite mixture of continuous trees using penalized mutual information
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COMMUNICATIONS IN STATISTICS-THEORY AND METHODS 2020年 第20期49卷 4974-4987页
作者: Khalili, Atefeh Eskandari, Farzad Allameh Tabatabai Univ Dept Stat Tehran Iran
In this paper we introduce continuous tree mixture model that is the mixture of undirected graphical models with tree structured graphs and is considered as multivariate analysis with a non parametric approach. We est... 详细信息
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Path weights in concentration graphs
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BIOMETRIKA 2020年 第3期107卷 705-722页
作者: Roverato, Alberto Castelo, Robert Univ Padua Dept Stat Sci Via C Battisti 241 I-35121 Padua Italy Univ Pompeu Fabra Dept Expt & Hlth Sci Dr Aiguader 88 E-08003 Barcelona Spain
A graphical model provides a compact and efficient representation of the association structure in a multivariate distribution by means of a graph. Relevant features of the distribution are represented by vertices, edg... 详细信息
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Hyperspectral Image Clustering based on Variational Expectation Maximization  11
Hyperspectral Image Clustering based on Variational Expectat...
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IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM)
作者: Jiao, Yuchen Ma, Yirong Gu, Yuantao Tsinghua Univ Dept Elect Engn Beijing Peoples R China 69010 Unit PLA Urumqi Peoples R China
Hyperspectral image clustering is an important and challenging problem, which aims to group image pixels according to the land cover information extracted from the spectrum. The spectrum observed at adjacent pixels ar... 详细信息
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Exploration of Dependencies among Sections in a Supermarket Using a Tree-Structured undirected graphical model
Exploration of Dependencies among Sections in a Supermarket ...
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12th IEEE International Conference on Data Mining (ICDM)
作者: Takai, Keiji Kansai Univ Data Min Lab Osaka Japan
In research of purchase behavior in a supermarket, it is important to understand dependencies among sections of the supermarket, with each section corresponding to a category of items. An undirected graphical model is... 详细信息
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