Search Results - expectation–maximization algorithm (EM-algorithm)

Comparison of Expectation-Maximization (EM) Algorithm and Kmeans for District/City Clustering in West Sumatera Province Based on Breadfruit Production

Authors: Mayrita Addila Putri Mayrita null Fadhilah Fitri

Source: UNP Journal of Statistics and Data Science. 3:271-278

An Accurate Mango Pest Identification Employing the Gaussian Mixture Model and Expectation-Maximization (EM) Algorithm

Authors: D. Lita Pansy M. Murali

Source: Journal of Computer Science. 21:52-70

Expectation–Maximization (EM) Algorithm

Authors: Tsutomu T. Takeuchi

Source: Applications of Big Data and Machine Learning in Galaxy Formation and Evolution ISBN: 9781003104315

Bayesian Theorem and Expectation–Maximization (EM) Algorithm

Authors: Tongyi Zhang

Source: An Introduction to Materials Informatics ISBN: 9789819979912

Development of extrusion force load profiles for briquetting machines by using EM algorithms.

Authors: Ma, Silu Na, Risu Wang, Nan et al.

Source: Journal of Mechanical Science & Technology. Nov2025, Vol. 39 Issue 11, p6675-6684. 10p.

Subject Terms: *EXPECTATION-maximization algorithms, *GAUSSIAN mixture models, *MACHINERY, *MATERIAL fatigue, *PROBABILITY density function, *DYNAMIC loads, *COMPRESSION loads

Some Simplifications for the Expectation-Maximization (EM) Algorithm: The Linear Regression Model Case

Authors: Griffith, Daniel A.

Subject Terms: Methodology (stat.ME), FOS: Computer and information sciences, Methodology

Access URL: http://arxiv.org/abs/2509.19461

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

ESTIMATION OF VARIANCE COMPONENTS FOR BODYWEIGHT OF GRASSCUTTERS USING EXPECTATION MAXIMIZATION (EM) ALGORITHM OF RESTRICTED MAXIMIMUM LIKELIHOOD (REMI)

Authors: I. UDEH

Source: Nigerian Journal of Animal Production. :120-122

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

Hyperparameter Optimization EM Algorithm via Bayesian Optimization and Relative Entropy.

Authors: Zou, Dawei Ma, Chunhua Wang, Peng et al.

Source: Entropy. Jul2025, Vol. 27 Issue 7, p678. 18p.

Subject Terms: *MACHINE learning, *EXPECTATION-maximization algorithms, *MATHEMATICAL optimization, *GAUSSIAN processes, *ENTROPY (Information theory)

Compensation of phase noise in massive-MIMO uplink communications based on expectation-maximization algorithm

Authors: Tarable, Alberto Escribano, Francisco J.

Source: Journal of Communications and Networks. 26:603-616

Subject Terms: Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Science - Information Theory, Information Theory (cs.IT), 0202 electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Electrical Engineering and Systems Science - Signal Processing, EM Algorithm, iterative decoding, massive MIMO, phase noise

File Description: application/pdf

Access URL: http://arxiv.org/abs/2207.08213

Online state and unknown inputs estimation for nonlinear systems with particle filter based recursive expectation‐maximization algorithm: Online state and unknown inputs estimation for nonlinear systems with particle filter based recursive expectation-maximization algorithm

Authors: Zhuangyu Liu Shunyi Zhao Haiying Wan et al.

Source: International Journal of Robust and Nonlinear Control. 34:8768-8784

Subject Terms: 0209 industrial biotechnology, Estimation and detection in stochastic control theory, particle filter (PF), recursive EM algorithm, 0202 electrical engineering, electronic engineering, information engineering, Nonlinear systems in control theory, unknown inputs (UIs), 02 engineering and technology, fermentation process, Filtering in stochastic control theory

File Description: application/xml

Access URL: https://zbmath.org/7900075
https://doi.org/10.1002/rnc.7416

An improved EM algorithm for variable selection with missing data in spatial error models.

Authors: Wang, Yuanfeng Song, Yunquan

Source: Journal of Statistical Computation & Simulation. Apr2025, Vol. 95 Issue 6, p1141-1164. 24p.

Subject Terms: *MISSING data (Statistics), *EXPECTATION-maximization algorithms, *FEATURE selection, *SPATIAL analysis (Statistics), *SPACE in economics

Learning Gaussian Bayesian Network from Censored Data Subject to Limit of Detection by the Structural EM Algorithm.

Authors: Xu, Ping-Feng Lin, Shanyi Zheng, Qian-Zhen et al.

Source: Mathematics (2227-7390). May2025, Vol. 13 Issue 9, p1482. 20p.

Subject Terms: *MARKOV chain Monte Carlo, *EXPECTATION-maximization algorithms, *BAYESIAN analysis, *KNOWLEDGE representation (Information theory), *MACHINE learning

Missing Value Imputation for PM10 Concentration in Sabah using Nearest Neighbour Method (NNM) and Expectation-Maximization (EM) Algorithm

Authors: Muhammad Izzuddin Rumaling Chee, Fuei Pien Jedol Dayou et al.

Source: Asian Journal of Atmospheric Environment, Vol 14, Iss 1, Pp 62-72 (2020)

Subject Terms: particulate matter, Environmental sciences, missing data, nearest neighbour method, Q Science (General), GE1-350, performance indicators, Environmental technology. Sanitary engineering, 01 natural sciences, TD1-1066, expectation maximization algorithm, 0105 earth and related environmental sciences

File Description: text

Access URL: https://doaj.org/article/4c9baa52449b476483ec74ee627b4095

Face pattern recognition using Expectation-Maximization (EM) algorithm

Authors: Joko Purwadi Julan Hernadi M. Danang Suryantoro

Source: Bulletin of Applied Mathematics and Mathematics Education. 2:47-50

Subject Terms: 03 medical and health sciences, 0302 clinical medicine, 01 natural sciences, 0104 chemical sciences

Fitting Penalized Estimator for Sparse Covariance Matrix with Left-Censored Data by the EM Algorithm.

Authors: Lin, Shanyi Zheng, Qian-Zhen Shang, Laixu et al.

Source: Mathematics (2227-7390). Feb2025, Vol. 13 Issue 3, p423. 17p.

Subject Terms: *SPARSE matrices, *EXPECTATION-maximization algorithms, *GAUSSIAN distribution, *VECTOR data, *DETECTION limit

An EM algorithm for absolutely continuous Marshall-Olkin bivariate Pareto distribution with location and scale.

Authors: Paul, Biplab Dey, Arabin Kumar

Source: Communications in Statistics: Simulation & Computation. 2025, Vol. 54 Issue 6, p1722-1745. 24p.

Subject Terms: *PARETO distribution, *EXPECTATION-maximization algorithms, *DISTRIBUTION (Probability theory), *RAINFALL, *MAXIMUM likelihood statistics

Reliability Inference in GLFP Models Based on EM Algorithm With Related Application.

Authors: Tai, Chih‐Ying Fan, Tsai‐Hung

Source: Applied Stochastic Models in Business & Industry. Jul/Aug2025, Vol. 41 Issue 4, p1-21. 21p.

Subject Terms: *STATISTICAL reliability, *INTEGRATED circuits, EXPECTATION-maximization algorithms, STATISTICAL models, MAXIMUM likelihood statistics, WEIBULL distribution, FAILURE mode & effects analysis

Unsupervised Learning in RSS-Based DFLT Using an EM Algorithm

Authors: Kaltiokallio, Ossi Hostettler, Roland Yigitler, Huseyin et al.

Source: Sensors. 21(16)

Subject Terms: received signal strength, localization and tracking, bayesian filtering and smoothing, parameter estimation, expectation-maximization algorithm

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-456002
https://doi.org/10.3390/s21165549