Expectation-maximization alternating least squares for tensor network logistic regression Frontiers
A novel trajectory learning method for robotic arms based on Gaussian Mixture Model and k-value selection algorithm PLOS
Parameter estimation of inverse Weibull distribution under competing risks based on the expectation–maximization algorithm Wiley Online Library
Fast Maximum Likelihood Estimation via Equilibrium Expectation for Large Network Data Nature
Multinomial Mixture Model for Supermarket Shoppers Segmentation (A complete tutorial) Towards Data Science
Signal enhancement for two-dimensional cryo-EM data processing Cambridge University Press & Assessment
A fast and efficient Modal EM algorithm for Gaussian mixtures Wiley Online Library
Gaussian decomposition method for full waveform data of LiDAR base on neural network Nature
A maximum likelihood approach for asymmetric non-normal data using a transformational measurement model Frontiers
Multi‐node Expectation–Maximization algorithm for finite mixture models Wiley Online Library
Algorithms and approximations for the modified Weibull model under censoring with application to the lifetimes of electrical appliances Nature
Parameter Estimation of Autoregressive-Exogenous and Autoregressive Models Subject to Missing Data Using Expectation Maximization Frontiers
Multi GPU parallelization of maximum likelihood expectation maximization method for digital rock tomography data Nature
EM Estimation of the X-Ray Spectrum With a Genetically Optimized Step-Wedge Phantom Frontiers
Performance Characterization of Clusterwise Linear Regression Algorithms Wiley Interdisciplinary Reviews
A variational expectation-maximization framework for balanced multi-scale learning of protein and drug interactions Nature
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