Search Results - "Expectation-maximization algorithms"

Deep Learning-Driven Uncertainty Estimation for Brain Tissue Segmentation by Integrating Expectation Maximization Algorithms

Authors: Laxmi Prasad Bhatt Subarna Shakya

Source: 2025 4th International Conference on Sentiment Analysis and Deep Learning (ICSADL). :914-920

Target Shape Identification on Low-Count Images Using Expectation–Maximization Algorithms

Authors: Vyacheslav E. Antsiperov Aleksandr S. Bugaev

Source: Series on Language Processing, Pattern Recognition, and Intelligent Systems ISBN: 9789811267208

Evaluation of Kosmic and Expectation-Maximization algorithms and different data pre-processing approaches to determine Upper Reference Limits for Insulin in adolescents

Authors: Monica Di Calafiori Freire Paulo Roberto Telles Pires Dias Leonardo Javier Arcuri et al.

Expectation-Maximization Algorithms for Gaussian Mixture Models Using Linear Algebra Libraries on Parallel Shared-Memory Systems

Authors: Wojciech Kwedlo

Source: Annals of computer science and information systems, Vol 35, Pp 1047-1052 (2023)

Subject Terms: Electronic computers. Computer science, Information technology, QA75.5-76.95, T58.5-58.64

Access URL: https://doaj.org/article/a8310455575548d8b868ae5abc31a66b

Application of Soft-Clustering Analysis Using Expectation Maximization Algorithms on Gaussian Mixture Model

Authors: Aswi Aswi Muhammad Arif Tiro Andi Shahifah Muthahharah

Source: Jurnal Varian. 6:71-80

Subject Terms: 0101 mathematics, 01 natural sciences

Enhancing the Efficiency of Lung Disease Prediction using CatBoost and Expectation Maximization Algorithms

Authors: D Sudharson S Oviya Retheneka L Yogeswari et al.

Source: 2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA). :57-61

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

A flexible model for record linkage Open Access.

Authors: Robach, Kayané Pas, Stéphanie L van der Wiel, Mark A van de et al.

Source: Journal of the Royal Statistical Society: Series C (Applied Statistics). Nov2025, Vol. 74 Issue 4, p1100-1127. 28p.

Subject Terms: *MATHEMATICAL optimization, *DATA analysis, MEDICAL record linkage, EXPECTATION-maximization algorithms, DATA integration, LATENT variables

Convergence of the EM algorithm in KL distance for overspecified Gaussian mixtures.

Authors: Legg, Alan Pak, Artur Melnykov, Igor et al.

Source: Statistical Papers. Oct2025, Vol. 66 Issue 6, p1-33. 33p.

Subject Terms: EXPECTATION-maximization algorithms, GAUSSIAN mixture models, ERROR rates, MATHEMATICAL bounds, ASYMPTOTIC expansions

A mixed BAR(1) model driven by serially dependent innovation with application.

Authors: Yue, Jinmei Sheng, Danshu Lu, Feilong

Source: Communications in Statistics: Simulation & Computation. 2025, Vol. 54 Issue 10, p4264-4284. 21p.

Subject Terms: *FORECASTING, EXPECTATION-maximization algorithms, STATISTICAL models

Semiparametric regression models under skew scale mixtures of normal distributions.

Authors: Ferreira, Clécio S. Dias, Ronaldo

Source: Communications in Statistics: Simulation & Computation. 2025, Vol. 54 Issue 10, p4170-4192. 23p.

Subject Terms: *ERROR analysis in mathematics, *GAUSSIAN distribution, EXPECTATION-maximization algorithms, STATISTICAL models, NONLINEAR systems, ENVIRONMENTAL databases

A Cornucopia of Maximum Likelihood Algorithms.

Authors: Lange, Kenneth Li, Xun-Jian Zhou, Hua

Source: American Statistician. Nov2025, Vol. 79 Issue 4, p538-548. 11p.

Subject Terms: MAXIMUM likelihood statistics, EXPECTATION-maximization algorithms, NEWTON-Raphson method, SCIENTIFIC language, OPTIMIZATION algorithms, CALCULUS

Influence diagnostics in the Heckman selection models based on EM algorithms.

Authors: Oliveira, Marcos S. Prates, Marcos O. Galarza, Christian E. et al.

Source: Journal of Applied Statistics. Oct2025, Vol. 52 Issue 13, p2384-2412. 29p.

Subject Terms: *DISTRIBUTION (Probability theory), *SIMULATION methods & models, EXPECTATION-maximization algorithms, SELECTION bias (Statistics), SENSITIVITY analysis

A mixture of mixed regressions model for longitudinal data, with application to clinical laboratory measurements.

Authors: Helgeland, Jon Laake, Petter

Source: Communications in Statistics: Theory & Methods. 2025, Vol. 54 Issue 22, p7158-7174. 17p.

Subject Terms: *MULTIVARIATE analysis, *PARAMETER estimation, *STATISTICAL sampling, LONGITUDINAL method, EXPECTATION-maximization algorithms, ROUTINE diagnostic tests, ASYMPTOTIC expansions, BIOMARKERS

Accelerated distributed expectation-maximization algorithms for the parameter estimation in multivariate Gaussian mixture models

Authors: Guangbao Guo Qian Wang James Allison et al.

Source: Applied Mathematical Modelling. 137:115709

An Ensemble Clustering Framework Based on Majority Voting: Comparative Analysis with Enhanced Clustering Algorithms.

Authors: Gharu, Anand N. Gumaste, Shyamrao V.

Source: EPJ Web of Conferences. 11/20/2025, Vol. 341, p1-15. 15p.

Subject Terms: *K-means clustering, *EXPECTATION-maximization algorithms, *CLUSTER analysis (Statistics), *FUZZY clustering technique, *MAJORITIES, *ROBUST statistics, *CLUSTERING algorithms

A comprehensive framework toward the seamless integration of muon reconstruction algorithms with machine learning.

Authors: Sattler, F. A. Alameddine, J. M. Bueno Rodríguez, Á. et al.

Source: Journal of Applied Physics; 10/14/2025, Vol. 138 Issue 14, p1-10, 10p

Subject Terms: COSMIC ray muons, MACHINE learning, IMAGE reconstruction algorithms, EXPECTATION-maximization algorithms, GRAPHICS processing units

Blind Audio Source Separation Using Two Expectation-Maximization Algorithms

Authors: Eisenberg, Aviad Schwartz, Boaz Gannot, Sharon

Source: 2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP)

Subject Terms: 03 medical and health sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0305 other medical science

Access URL: https://dblp.uni-trier.de/db/conf/mlsp/mlsp2020.html#EisenbergSG20

Unveiling topic dependencies through a multilevel topic model: a hierarchical approach to enhanced interpretability.

Authors: Kim, Youngsun Chung, Hwan Jeon, Saebom

Source: Journal of Applied Statistics. Aug2025, p1-20. 20p. 6 Illustrations.

Subject Terms: EXPECTATION-maximization algorithms, LATENT variables, TEXT mining

Model-Based Co-Clustering in Customer Targeting Utilizing Large-Scale Online Product Rating Networks.

Authors: Chen, Qian Agarwal, Amal Fong, Duncan K. H. et al.

Source: Journal of Business & Economic Statistics. Jul2025, Vol. 43 Issue 3, p495-507. 13p.

Subject Terms: *TARGET marketing, *CONSUMERS, BIPARTITE graphs, EXPECTATION-maximization algorithms, MISSING data (Statistics)

Optimal life-testing plans for joint progressively Type-II censored Birnbaum-Saunders distributions with compound optimal criteria.

Authors: Lin, Chien-Tai Chen, Zhi-Wei Li, Yun-Wei et al.

Source: Quality Technology & Quantitative Management. Jul2025, Vol. 22 Issue 4, p605-630. 26p.

Subject Terms: *SEARCH algorithms, *MONTE Carlo method, EXPECTATION-maximization algorithms, CENSORING (Statistics), MAXIMUM likelihood statistics