Search Results - Expectation-maximization algorithm

On-line expectation-maximization algorithm for latent data models by Cappé, Olivier, Moulines, Eric

“…We propose a generic on-line (also sometimes called adaptive or recursive) version of the expectation-maximization (EM…”
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Expectation–Maximization algorithm for finite mixture of α-stable distributions by Castillo-Barnes, D., Martinez-Murcia, F.J., Ramírez, J., Górriz, J.M., Salas-Gonzalez, D.

“…–Maximization algorithm. As the Gaussian distribution is a particular limiting case of α-stable distribution, the proposed model is a generalization of the widely used GMM…”
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Model error covariance estimation in particle and ensemble Kalman filters using an online expectation–maximization algorithm by Cocucci, Tadeo J., Pulido, Manuel, Lucini, Magdalena, Tandeo, Pierre

“… This work focuses on maximization of the likelihood function via the expectation–maximization (EM) algorithm to infer the model error covariance combined with ensemble Kalman filters and particle filters to estimate the state…”
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Expectation–maximization algorithm for bilinear systems by using the Rauch–Tung–Striebel smoother by Liu, Siyu, Zhang, Xiao, Xu, Ling, Ding, Feng

“… By treating the unknown states as the latent variables, the expectation–maximization algorithm is designed for identifying the bilinear systems…”
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Partition-ligation-expectation-maximization algorithm for haplotype inference with single-nucleotide polymorphisms by Qin, Zhaohui S, Niu, Tianhua, Liu, Jun S

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Parameter Estimation Via Expectation Maximization - Expectation Consistent Algorithm by Xiao, Fangqing, Slock, Dirk

“…In the context of the expectation-maximization (EM) algorithm, which often faces challenges due to intractable posterior distributions, this study explores…”
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Expectation‐maximization algorithm for bilinear state‐space models with time‐varying delays under non‐Gaussian noise by Wang, Xinyue, Ma, Junxia, Xiong, Weili

“…‐order Markov chain to model the delays. In the framework of expectation‐maximization (EM) algorithm, the unknown parameters, delays, noise variance, states and transition probability matrix can be estimated iteratively. A numerical simulation and a continuous stirred tank reactor (CSTR) process demonstrate that the proposed algorithm has good immunity against outliers and time‐varying delays and offers good estimation accuracy for the bilinear SSM…”
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Multi‐node Expectation–Maximization algorithm for finite mixture models by Lee, Sharon X., McLachlan, Geoffrey J., Leemaqz, Kaleb L.

“…–Maximization (EM) algorithm. Recently, the adoption of flexible distributions as component densities has become increasingly popular…”
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A robust filter and smoother-based expectation–maximization algorithm for bilinear systems with heavy-tailed noise by Wang, Wenjie, Liu, Siyu, Jiang, Yonghua, Sun, Jianfeng, Xu, Wanxiu, Chen, Xiaohao, Dong, Zhilin, Jiao, Weidong

“…This paper focuses on a specific type of nonlinear systems—bilinear systems and introduces a robust filter and smoother-based expectation–maximization (RFS-EM…”
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Noncontact Detection of Sleep Apnea Using Radar and Expectation-Maximization Algorithm by Koda, Takato, Okumura, Shigeaki, Taki, Hirofumi, Hamada, Satoshi, Sunadome, Hironobu, Sato, Susumu, Chin, Kazuo, Sakamoto, Takuya

“…). This study proposes a novel radar-based method for accurate detection of SA events. The proposed method uses the expectation-maximization (EM…”
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Dynamic mode decomposition based on expectation–maximization algorithm for simultaneous system identification and denoising by Iwasaki, Yuto, Sasaki, Yasuo, Nagata, Takayuki, Kaneko, Sayumi, Nonomura, Taku

“…, and the system/observation noise model only from the noisy data. An expectation–maximization (EM)-algorithm DMD (EMDMD) combines DMD and the parameter adjustment of the linear dynamical system…”
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An expectation–maximization algorithm for spectral reconstruction under the spectral hard model by Kasterke, Marvin, Kaufmann, Lea, Kateri, Maria, Brands, Thorsten

“… In this work, we apply an expectation–maximization (EM) based algorithm for generating spectral reconstructions of pure substance models that does not require the pre-specification of the number of peaks or any initial values…”
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An expectation-maximization algorithm for positron emission particle tracking by Manger, Sam, Renaud, Antoine, Vanneste, Jacques

“… Values of these parameters that approximately maximize the likelihood are computed by the application of an expectation-maximization algorithm…”
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Laplace Distribution Based Online Identification of Linear Systems With Robust Recursive Expectation–Maximization Algorithm by Chen, Xin, Zhao, Shunyi, Liu, Fei, Tao, Chongben

“…The robust online identification problem of linear systems is considered in this article using a faster robust recursive expectation–maximization (RREM) framework…”
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Neutron source reconstruction using a generalized expectation-maximization algorithm on one-dimensional neutron images from the Z facility by Ricketts, S A, Mangan, M A, Volegov, P, Fittinghoff, D N, Lewis, W E, Mannion, O M, Morel, J E, Adams, M L, Ampleford, D J

“… Here, we present a modified generalized expectation-maximization algorithm to reconstruct an axial neutron emission profile of the stagnated fusion plasma…”
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Classification of disease recurrence using transition likelihoods with expectation‐maximization algorithm by Jiang, Huijun, Li, Quefeng, Lin, Jessica T., Lin, Feng‐Chang

“…When an infectious disease recurs, it may be due to treatment failure or a new infection. Being able to distinguish and classify these two different outcomes…”
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RPEM: Randomized Monte Carlo parametric expectation maximization algorithm by Chen, Rong, Schumitzky, Alan, Kryshchenko, Alona, Nieforth, Keith, Tomashevskiy, Michael, Hu, Shuhua, Garreau, Romain, Otalvaro, Julian, Yamada, Walter, Neely, Michael N.

“…–Hastings algorithm, we present a novel, fast, and accurate high performance Monte Carlo Parametric Expectation Maximization (MCPEM) algorithm…”
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Separating Biological Variance from Noise by Applying Expectation-Maximization Algorithm to Modified General Linear Model by Lee, Tien-Wen

“…The general linear model (GLM) has been widely used in research, where the error term has been treated as noise. However, compelling evidence suggests that in…”
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Identification of Slow-Rate Integrated Measurement Systems Using Expectation-Maximization Algorithm by Kheirandish, Amid, Fatehi, Alireza, Gheibi, Mir Sajjad

“… By selecting finite impulse response (FIR) and autoregressive exogenous (ARX) models for the systems, parameters of them will be accurately estimated in the framework of the expectation-maximization (EM) algorithm…”
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Online state and unknown inputs estimation for nonlinear systems with particle filter based recursive expectation‐maximization algorithm by Liu, Zhuangyu, Zhao, Shunyi, Wan, Haiying, Luan, Xiaoli, Liu, Fei

“…) in nonlinear systems using a particle filter (PF) based recursive expectation‐maximization (EM) algorithm. This method is distinct from traditional iterative EM algorithms…”
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