Suchergebnisse - complex noisy expectation maximization algorithm

On the Convergence of Maximum Likelihood Expectation–maximization Algorithm for Iterative Tomographic Reconstruction and the Role of Spatial Frequency, Location, Pixel Intensity, Contrast, and Noise.

Autoren: Qutbi, Mohsen

Quelle: Journal of Medical Physics; Apr-Jun2025, Vol. 50 Issue 2, p348-358, 11p

Schlagwörter: IMAGE reconstruction, SPATIAL resolution, NOISE, MAXIMUM likelihood statistics, CONTRAST effect

A General Mixture Model for Cognitive Diagnosis.

Autoren: Olea, Joemari Santos, Kevin Carl

Quelle: Journal of Educational & Behavioral Statistics; Apr2024, Vol. 49 Issue 2, p268-307, 40p

Schlagwörter: EXPECTATION-maximization algorithms, READING comprehension, DIAGNOSIS

The Noisy Expectation-Maximization Algorithm for Multiplicative Noise Injection.

Autoren: Osoba, Osonde Kosko, Bart

Quelle: Fluctuation & Noise Letters; Mar2016, Vol. 15 Issue 1, p-1, 23p

Schlagwörter: EXPECTATION-maximization algorithms, RANDOM noise theory, QUADRATIC forms, CAUCHY problem, STOCHASTIC convergence, PROBABILITY density function

Improved Online Kalman Smoothing Method for Ship Maneuvering Motion Data Using Expectation-Maximization Algorithm.

Autoren: Yue, Wancheng Ren, Junsheng

Quelle: Journal of Marine Science & Engineering; Jun2025, Vol. 13 Issue 6, p1018, 22p

Schlagwörter: DATA assimilation, EXPECTATION-maximization algorithms, OCEAN waves, SYSTEM identification, NOISE

A novel trajectory learning method for robotic arms based on Gaussian Mixture Model and k-value selection algorithm.

Autoren: Yan, Jingnan Wu, Yue Ji, Kexin et al.

Quelle: PLoS ONE; 2/14/2025, Vol. 20 Issue 2, p1-19, 19p

Schlagwörter: GAUSSIAN mixture models, STANDARD deviations, NONLINEAR dynamical systems, EXPECTATION-maximization algorithms, K-means clustering

Simultaneous estimation and clustering with finite mixture of nonparanormal graphical models.

Autoren: Haji Aghabozorgi, Hamid Eskandari, Farzad

Quelle: Communications in Statistics: Simulation & Computation; 2025, Vol. 54 Issue 3, p709-733, 25p

Schlagwörter: GAUSSIAN mixture models, MACHINE learning, COVARIANCE matrices, RANDOM variables, BENIGN tumors, EXPECTATION-maximization algorithms

A novel monitoring signal for the decision logic unit of the estimator-based supervisory robust multiple model adaptive control implementing the expectation–maximization algorithm.

Autoren: Amini, Mohammad Mahdi Eskandarian, Naser Dideban, Abbas et al.

Quelle: International Journal of Dynamics & Control; Jun2025, Vol. 13 Issue 6, p1-20, 20p

Novel Adaptive Hidden Markov Model Utilizing Expectation–Maximization Algorithm for Advanced Pipeline Leak Detection.

Autoren: Zadehbagheri, Omid Salehizadeh, Mohammad Reza Naghavi, Seyed Vahid et al.

Quelle: Modelling; Dec2024, Vol. 5 Issue 4, p1339-1364, 26p

Schlagwörter: HIDDEN Markov models, LEAK detection, MARKOV processes, ENVIRONMENTAL degradation, LEAKS (Disclosure of information)

Expectation Maximization Algorithm for GPS Positioning in Multipath Environments Based on Volterra Series.

Autoren: Cheng, Lianyuan Chen, Jing Mao, Yawen et al.

Quelle: Circuits, Systems & Signal Processing; Oct2023, Vol. 42 Issue 10, p6278-6295, 18p

Schlagwörter: VOLTERRA series, ALGORITHMS, PARAMETER estimation, EXPECTATION-maximization algorithms

Application of expectation–maximization algorithm to estimate random walk process noise for GNSS tropospheric delay.

Autoren: Zhang, Xinggang Li, Pan Wang, Miaomiao et al.

Quelle: GPS Solutions; Oct2024, Vol. 28 Issue 4, p1-12, 12p

2D PET Image Reconstruction Using Robust L1 Estimation of the Gaussian Mixture Model.

Autoren: Tafro, Azra Seršić, Damir Sović Kržić, Ana

Quelle: Informatica; 2022, Vol. 33 Issue 4, p653-669, 17p

Schlagwörter: GAUSSIAN mixture models, IMAGE reconstruction, EXPECTATION-maximization algorithms, RADIOACTIVE tracers, IMAGE denoising, GAMMA rays, POSITRON emission tomography

Brain MR image segmentation for tumor detection based on Riesz probability distributions.

Autoren: Tounsi, Mariem Zitouni, Mouna

Quelle: Computer Methods in Biomechanics & Biomedical Engineering: Imaging & Visualisation; Dec2024, Vol. 12 Issue 1, p1-13, 13p

Schlagwörter: DISTRIBUTION (Probability theory), MAGNETIC resonance imaging, EXPECTATION-maximization algorithms, BRAIN imaging, BRAIN tumors, IMAGE segmentation

Model‐based clustering in simple hypergraphs through a stochastic blockmodel.

Autoren: Brusa, Luca Matias, Catherine

Quelle: Scandinavian Journal of Statistics; Dec2024, Vol. 51 Issue 4, p1661-1684, 24p

Schlagwörter: APPROXIMATION algorithms, LATENT variables, STOCHASTIC models, STATISTICAL models, EXPECTATION-maximization algorithms

Bayesian EM approach for GNSS parameters of interest estimation under constant modulus interference.

Autoren: Lesouple, Julien Ortega, Lorenzo

Quelle: EURASIP Journal on Advances in Signal Processing; 3/13/2024, Vol. 2024 Issue 1, p1-24, 24p

Schlagwörter: GLOBAL Positioning System, PARAMETER estimation, MAXIMUM likelihood statistics, EXPECTATION-maximization algorithms, DOPPLER effect

Inferring single-cell copy number profiles through cross-cell segmentation of read counts.

Autoren: Liu, Furui Shi, Fangyuan Yu, Zhenhua

Quelle: BMC Genomics; 1/2/2024, Vol. 25 Issue 1, p1-15, 15p

Schlagwörter: DEEP learning, EXPECTATION-maximization algorithms, DNA sequencing, PLOIDY, DATA analysis

A composite Bayesian approach for quantile curve fitting with non-crossing constraints.

Autoren: Wang, Qiao Cai, Zhongheng

Quelle: Communications in Statistics: Theory & Methods; 2024, Vol. 53 Issue 20, p7119-7143, 25p

Schlagwörter: CURVE fitting, EXPECTATION-maximization algorithms, BAYESIAN analysis, SMOOTHNESS of functions, QUANTILES, GIBBS sampling

Statistical inference of multi-state transition model for longitudinal data with measurement error and heterogeneity.

Autoren: Qin, Jiajie Guan, Jing

Quelle: Communications in Statistics: Theory & Methods; 2024, Vol. 53 Issue 20, p7453-7476, 24p

Schlagwörter: MARKOV chain Monte Carlo, RANDOM matrices, EXPECTATION-maximization algorithms, MEASUREMENT errors, INFERENTIAL statistics, SOCIAL medicine, MATRIX effect, COVARIANCE matrices

Probabilistic model-based fault diagnosis for the cavities of the European XFEL.

Alternate Title: Probabilistische, modellbasierte Fehlerdiagnose für die Kavitäten des European XFEL. (German)

Autoren: Nawaz, Ayla Herzog né Hoffmann, Christian Graßhoff, Jan et al.

Quelle: Automatisierungstechnik; Jun2021, Vol. 69 Issue 6, p543-554, 12p

Schlagwörter: FAULT diagnosis, FREE electron lasers, GAUSSIAN mixture models, MARGINAL distributions, KALMAN filtering, FAULT location (Engineering), EXPECTATION-maximization algorithms

Faster MIL-based Subgoal Identification for Reinforcement Learning by Tuning Fewer Hyperparameters.

Autoren: Sunel, Saim Çilden, Erkin Polat, Faruk

Quelle: ACM Transactions on Autonomous & Adaptive Systems; Jun2024, Vol. 19 Issue 2, p1-29, 29p

Schlagwörter: REINFORCEMENT learning, EXPECTATION-maximization algorithms, DECOMPOSITION method, IDENTIFICATION, TASK performance

Modeling functional cell types in spike train data.

Autoren: Zdeblick, Daniel N. Shea-Brown, Eric T. Witten, Daniela M. et al.

Quelle: PLoS Computational Biology; 10/12/2023, Vol. 19 Issue 10, p1-22, 22p, 1 Diagram, 5 Graphs

Schlagwörter: COMPUTATIONAL neuroscience, VISUAL cortex, EXPECTATION-maximization algorithms, FUNCTIONAL groups, PREDICTION models, NEURONS