Výsledky vyhľadávania - Variational expectation–maximization algorithm

A variational Expectation–Maximization algorithm for temporal data clustering Autor El Assaad, Hani, Samé, Allou, Govaert, Gérard, Aknin, Patrice

“… Using a variational approximation, an algorithm called VEM-DyMix is proposed to estimate the parameters of the proposed model…”
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Estimation in a binomial stochastic blockmodel for a weighted graph by a variational expectation maximization algorithm Autor Haj, Abir El, Slaoui, Yousri, Louis, Pierre-Yves, Khraibani, Zaher

“…Stochastic blockmodels have been widely proposed as a probabilistic random graph model for the analysis of networks data as well as for detecting community…”
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Hybrid Genetic and Variational Expectation-Maximization Algorithm for Gaussian-Mixture-Model-Based Brain MR Image Segmentation Autor Tian, GuangJian, Xia, Yong, Zhang, Yanning, Feng, Dagan

“…The expectation-maximization (EM) algorithm has been widely applied to the estimation of Gaussian mixture model (GMM…”
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Maximum likelihood estimation for discrete latent variable models via evolutionary algorithms Autor Brusa, Luca, Pennoni, Fulvia, Bartolucci, Francesco

“… The proposal is based on modified versions of the expectation–maximization (EM) and variational EM (VEM…”
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Blind source separation with time series variational Bayes expectation maximization algorithm Autor Sun, Shijun, Peng, Chenglin, Hou, Wensheng, Zheng, Jun, Jiang, Yingtao, Zheng, Xiaolin

“…This paper presents a variational Bayes expectation maximization algorithm for time series based on Attiasʼ…”
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Variational inference for estimating dynamic stochastic block models through an evolutionary algorithm Autor Brusa, Luca, Pennoni, Fulvia

“… The dynamic stochastic block model, commonly used with longitudinal network data, is estimated maximizing the likelihood function through the variational expectation-maximization (VEM) algorithm…”
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Glaucoma progression detection using variational expectation maximization algorithm Autor Belghith, Akram, Balasubramanian, Madhusudhanan, Bowd, Christopher, Weinreb, Robert N., Zangwill, Linda M.

“…Glaucoma, the second leading cause of blindness worldwide, is an optic neuropthy characterized by distinctive changes in the optic nerve head (ONH) and visual…”
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Engine Working State Recognition Based on Optimized Variational Mode Decomposition and Expectation Maximization Algorithm Autor Bi, Xiaobo, Lin, Jiansheng, Bi, Fengrong, Li, Xin, Tang, Daijie, Wu, Youxi, Yang, Xiao, Shen, Pengfei

“…) and expectation maximization (EM) are introduced into this paper to analyze multi-channel vibration signals…”
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A Segmentation-Based CFAR Detector With Spatial Continuity Constraint in Nonhomogeneous Weather Clutter Autor Yan, Yujia, Hu, Cheng, Cai, Jiong, Li, Weidong, Yu, Teng, Wang, Rui

“…The performance of conventional constant false alarm rate (CFAR) detectors may degrade in nonhomogeneous clutter environments, as accurately estimating the…”
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Anomaly detection for fabricated artifact by using unstructured 3D point cloud data Autor Tao, Chengyu, Du, Juan, Chang, Tzyy-Shuh

“…3D point cloud data has been widely used in surface quality inspection to measure fabricated artifacts, allowing the high density and precision of measurements…”
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Unsupervised learning applied in MER and ECG signals through Gaussians mixtures with the Expectation-Maximization algorithm and Variational Bayesian Inference Autor Vargas Cardona, Hernan Dario, Orozco, Alvaro Angel, Alvarez, Mauricio A.

“… We employ gaussian mixtures models with two estimation methods. The first is derived from the frequentist estimation theory, known as Expectation-Maximization (EM) algorithm…”
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Statistical clustering of temporal networks through a dynamic stochastic block model Autor Matias, Catherine, Miele, Vincent

“… We study identifiability of the model parameters and propose an inference procedure based on a variational expectation…”
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Powerful multiple testing of paired null hypotheses using a latent graph model Autor Rebafka, Tabea, Roquain, Étienne, Villers, Fanny

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An effective expectation-maximization algorithm for two-layer mixture model of Gaussian process functional regressions via variational inference Autor Xie, Yurong, Wu, Di, Qiang, Zhe

“…: the Markov Chain Monte Carlo expectation-maximization (MCMC EM) algorithm achieves high accuracy but incurs prohibitive computational cost, while the classification expectation-maximization (CEM…”
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Regularized Variational Estimation for Exploratory Item Factor Analysis Autor Cho, April E., Xiao, Jiaying, Wang, Chun, Xu, Gongjun

“… This paper proposes a regularized Gaussian Variational Expectation Maximization (GVEM) algorithm to efficiently infer item factor loading structure directly from data…”
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Confidence-Aware Personalized Federated Learning via Variational Expectation Maximization Autor Zhu, Junyi, Ma, Xingchen, Blaschko, Matthew B.

“… on the principle of maximizing the marginal likelihood and conducted using variational expectation maximization…”
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Variational Inference and Learning of Piecewise Linear Dynamical Systems Autor Alameda-Pineda, Xavier, Drouard, Vincent, Horaud, Radu Patrice

“… In this article, we propose a variational approximation of piecewise linear dynamical systems. We provide full details of the derivation…”
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Model‐based clustering in simple hypergraphs through a stochastic blockmodel Autor Brusa, Luca, Matias, Catherine

“… We first establish the generic identifiability of the model parameters. We then develop a variational approximation Expectation…”
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Fast Joint Detection-Estimation of Evoked Brain Activity in Event-Related fMRI Using a Variational Approach Autor Chaari, L., Vincent, T., Forbes, F., Dojat, M., Ciuciu, P.

“…In standard within-subject analyses of event-related functional magnetic resonance imaging (fMRI) data, two steps are usually performed separately: detection…”
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Joint symbol detection and channel estimation for MIMO-OFDM systems via the variational Bayes EM algorithm Autor Zhang, Xiao-Ying, Wei, Ji-Bo, Wang, De-Gang, Xiong, Chun-Lin

“…A new joint symbol detection and channel estimation algorithm was proposed for MIMO-OFDM systems over the time-varying fading channel based on the variational Bayes expectation maximization algorithm and Turbo principle…”
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