Search Results - "variational expectation-maximization algorithm"

Estimation in a binomial stochastic blockmodel for a weighted graph by a variational expectation maximization algorithm

Authors: Zaher Khraibani Yousri Slaoui Pierre-Yves Louis et al.

Contributors: Zaher Khraibani Yousri Slaoui Pierre-Yves Louis et al.

Source: Communications in Statistics - Simulation and Computation. 51:4450-4469

Subject Terms: Text mining, [STAT.AP] Statistics [stat]/Applications [stat.AP], Binomial stochastic blockmodel, Poisson stochastic blockmodel, Weighted networks, 0101 mathematics, Variational inference, [MATH.MATH-ST] Mathematics [math]/Statistics [math.ST], 01 natural sciences, Clustering

File Description: application/pdf

Access URL: https://hal.archives-ouvertes.fr/hal-02271491v1/file/abirpaper.pdf
https://hal.science/hal-02271491v1
https://hal.science/hal-02271491v1/document
https://doi.org/10.1080/03610918.2020.1743858
https://hal.archives-ouvertes.fr/hal-02271491/document
https://www.tandfonline.com/doi/full/10.1080/03610918.2020.1743858
https://hal.archives-ouvertes.fr/hal-02077840

A variational Expectation–Maximization algorithm for temporal data clustering

Authors: Hani El Assaad Allou Samé Gérard Govaert et al.

Source: Computational Statistics & Data Analysis. 103:206-228

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0101 mathematics, 01 natural sciences

Glaucoma progression detection using variational expectation maximization algorithm

Authors: Akram Belghith Robert N. Weinreb Christopher Bowd et al.

Source: 2013 IEEE 10th International Symposium on Biomedical Imaging. :876-879

Subject Terms: 03 medical and health sciences, 0302 clinical medicine

Access URL: https://ieeexplore.ieee.org/document/6556615/
https://dblp.uni-trier.de/db/conf/isbi/isbi2013.html#BelghithBBWZ13

Hybrid Genetic and Variational Expectation-Maximization Algorithm for Gaussian-Mixture-Model-Based Brain MR Image Segmentation

Authors: Yanning Zhang Yong Xia Dagan Feng et al.

Source: IEEE Transactions on Information Technology in Biomedicine. 15:373-380

Subject Terms: Male, Image Processing, Computer-Assisted, Normal Distribution, 0202 electrical engineering, electronic engineering, information engineering, Brain, Humans, Bayes Theorem, Female, 02 engineering and technology, Magnetic Resonance Imaging, Algorithms

Access URL: https://pubmed.ncbi.nlm.nih.gov/21233052

Blind Source Separation Using Variational Expectation-Maximization Algorithm

Authors: Adrian G. Bors Nikolaos Nasios

Source: Lecture Notes in Computer Science ISBN: 9783540407300

Access URL: https://rd.springer.com/chapter/10.1007/978-3-540-45179-2_55
https://link.springer.com/10.1007/978-3-540-45179-2_55
https://dblp.uni-trier.de/db/conf/caip/caip2003.html#NasiosB03
https://link.springer.com/chapter/10.1007%2F978-3-540-45179-2_55
https://link.springer.com/content/pdf/10.1007%2F978-3-540-45179-2_55.pdf

Anomaly detection for fabricated artifact by using unstructured 3D point cloud data

Authors: Chengyu Tao Juan Du Tzyy-Shuh Chang

Source: IISE Transactions. 55:1174-1186

Subject Terms: Unstructured 3D point cloud data, 0209 industrial biotechnology, Bayesian network, 0202 electrical engineering, electronic engineering, information engineering, Anomaly detection, 02 engineering and technology, Variational expectation-maximization algorithm

Variational inference for estimating dynamic stochastic block models through an evolutionary algorithm

Authors: Brusa, Luca Pennoni, Fulvia Brusa, L et al.

Contributors: Brusa, Luca Pennoni, Fulvia Brusa, L et al.

Subject Terms: Genetic algorithm, Local maxima, Longitudinal network, Node classification, Variational expectation-maximization algorithm, Settore STAT-01/A - Statistica

File Description: STAMPA

Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:001493346100001; volume:19; issue:2; firstpage:469; lastpage:492; numberofpages:24; journal:ADVANCES IN DATA ANALYSIS AND CLASSIFICATION; https://hdl.handle.net/10281/554402

Availability: https://hdl.handle.net/10281/554402
https://doi.org/10.1007/s11634-025-00634-9
https://link.springer.com/article/10.1007/s11634-025-00634-9

Maximum likelihood for discrete latent variable models via evolutionary algorithms

Authors: Brusa, L Pennoni, F Bartolucci, F

Subject Terms: Expectation–maximization algorithm, Local maxima, Maximum-likelihood estimation, Variational expectation–maximization algorithm

File Description: application/pdf

Access URL: https://link.springer.com/article/10.1007/s11222-023-10358-5#article-info
https://hdl.handle.net/10281/455819

Estimation in a binomial stochastic blockmodel for a weighted graph by a variational expectation maximization algorithm.

Authors: Haj, Abir El Slaoui, Yousri Louis, Pierre-Yves et al.

Source: Communications in Statistics: Simulation & Computation; 2022, Vol. 51 Issue 8, p4450-4469, 20p

Subject Terms: WEIGHTED graphs, EXPECTATION-maximization algorithms, RANDOM graphs, BINOMIAL distribution, INTEGERS, STATISTICAL errors, ALGORITHMS

Segmentation of colour images using variational expectation-maximization algorithm

Authors: Adrian G. Bors Nikolaos Nasios

Source: Procedings of the British Machine Vision Conference 2004. :73.1-73.10

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: http://www.bmva.org/bmvc/2004/papers/paper_222.pdf
http://www.bmva.org/bmvc/2004/papers/paper_222.html

Improving clustering in temporal networks through an evolutionary algorithm

Authors: Brusa, L Pennoni, F

Subject Terms: local maxima, longitudinal networks, node classification, stochastic blockmodel, variational expectation-maximization algorithm

File Description: application/pdf

Access URL: https://www.statlab-unisa.it/cladag2023/book-of-abstracts/
https://hdl.handle.net/10281/474679

Glaucoma progression detection using variational expectation maximization algorithm.

Authors: Belghith, Akram Balasubramanian, Madhusudhanan Bowd, Christopher et al.

Source: 2013 IEEE 10th International Symposium on Biomedical Imaging; 2013, p876-879, 4p

Hybrid Genetic and Variational Expectation-Maximization Algorithm for Gaussian-Mixture-Model-Based Brain MR Image Segmentation.

Authors: Tian, GuangJian Xia, Yong Zhang, Yanning et al.

Source: IEEE Transactions on Information Technology in Biomedicine; 05/01/2011, Vol. 15 Issue 3, p373-380, 8p

Subject Terms: MAGNETIC resonance imaging of the brain, GENETIC algorithms, GAUSSIAN processes, IMAGE analysis, GALLIUM, INFORMATION technology, BRAIN models, ESTIMATION theory

Community detection in multiplex continous weighted nodes networks using an extension of the stochastic block model.

Authors: El Haj, Abir

Source: Computing; Nov2024, Vol. 106 Issue 11, p3711-3725, 15p

Subject Terms: EXPECTATION-maximization algorithms, STOCHASTIC models, SOCIAL networks, MULTIPLEXING

Modeling comorbidity of chronic diseases using coupled hidden Markov model with bivariate discrete copula.

Authors: Oflaz, Zarina Yozgatligil, Ceylan Selcuk-Kestel, A Sevtap

Source: Statistical Methods in Medical Research; Apr2023, Vol. 32 Issue 4, p829-849, 21p

Subject Terms: CHRONIC diseases, HIDDEN Markov models, COPULA functions, COMORBIDITY, POPULATION dynamics, PARALLEL processing

Factor Augmented Inverse Regression and its Application to Microbiome Data Analysis.

Authors: Pang, Daolin Zhao, Hongyu Wang, Tao

Source: Journal of the American Statistical Association; Sep2024, Vol. 119 Issue 547, p1957-1967, 11p

Subject Terms: MAXIMUM likelihood statistics, MICROBIAL communities, LOGISTIC regression analysis, DATA analysis, PHENOTYPES

Modeling and monitoring multilayer attributed weighted directed networks via a generative model.

Authors: Wu, Hao Liang, Qiao Wang, Kaibo

Source: IISE Transactions; Aug2024, Vol. 56 Issue 8, p902-914, 13p

Subject Terms: EXPECTATION-maximization algorithms, QUALITY control charts, STATISTICAL process control, PARAMETER estimation

A variational Expectation–Maximization algorithm for temporal data clustering

Authors: El Assaad, Hani Samé, Allou Govaert, Gérard et al.

Relation: http://www.sciencedirect.com/science/article/pii/S0167947316301098

Availability: http://www.sciencedirect.com/science/article/pii/S0167947316301098

R code implemented for the paper: Brusa, L.; Pennoni, F.; Bartolucci, F. (2024). Maximum likelihood for discrete latent variable models via evolutionary algorithms. Statistics and Computing, 34, 1-15.

Authors: Brusa, L Pennoni, F Bartolucci, F

Contributors: Brusa, L Pennoni, F Bartolucci, F

Subject Terms: Evolutionary algorithm, Expectation–maximization algorithm, Global maximum, Hidden markov model, latent class model, Local maxima, Maximum-likelihood estimation, Stochastic block model, Tempering, Variational expectation–maximization algorithm

Relation: https://hdl.handle.net/10281/455854; https://github.com/LB1304/estDLVM

Availability: https://hdl.handle.net/10281/455854
https://github.com/LB1304/estDLVM

Heterogeneity Analysis on Multi-State Brain Functional Connectivity and Adolescent Neurocognition.

Authors: Wang, Shiying Constable, Todd Zhang, Heping et al.

Source: Journal of the American Statistical Association; Jun2024, Vol. 119 Issue 546, p851-863, 13p

Subject Terms: FUNCTIONAL connectivity, DEFAULT mode network, FLUID intelligence, EXPECTATION-maximization algorithms, HETEROGENEITY, PARIETAL lobe