Search Results - "expectation‐maximisation algorithm"

Model-based analyses of bioequivalence crossover trials using the stochastic approximation expectation maximisation algorithm by Dubois, Anne, Lavielle, Marc, Gsteiger, Sandro, Pigeolet, Etienne, Mentré, France

“…) that mimics the standard noncompartmental analysis (NCA). We estimate NLMEM parameters, including between‐subject and within…”
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A nonlinear mixed-effects model for multivariate longitudinal data with partially observed outcomes with application to HIV disease dynamics by Luwanda, A. G., Mwambi, H. G.

“… However, it is common for subjects to drop out of the studies prematurely resulting in unbalanced data and hence complicating the inferences involving such data…”
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MR/PET quantification tools: Registration, segmentation, classification, and MR-based attenuation correction by Fei, Baowei, Yang, Xiaofeng, Nye, Jonathon A., Aarsvold, John N., Raghunath, Nivedita, Cervo, Morgan, Stark, Rebecca, Meltzer, Carolyn C., Votaw, John R.

“…Purpose: Combined MR/PET is a relatively new, hybrid imaging modality. A human MR/PET prototype system consisting of a Siemens 3T Trio MR and brain PET insert…”
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ML modulation classification in presence of unreliable observations by Dulek, B

“… It is assumed that some of the observations are subject to data failures, in which case the receiver acquires only noise. Expectation…”
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On-board SPECT for localizing functional targets: A simulation study by Roper, Justin, Bowsher, James, Yin, Fang-Fang

“… Twenty tumor locations were defined in the upper torso. The eight lung tumors were subject to the effects of respiratory motion…”
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Intensity inhomogeneity correction for the breast sonogram: Constrained fuzzy cell-based bipartitioning and polynomial surface modeling by Lee, Chia-Yen, Chou, Yi-Hong, Huang, Chiun-Sheng, Chang, Yeun-Chung, Tiu, Chui-Mei, Chen, Chung-Ming

“…Purpose: To develop an intensity inhomogeneity algorithm for breast sonograms in order to assist visual identification and automatic delineation of lesion…”
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노인 운전자의 공격적인 운전 상태 검출 기법 by 고동우, Dong-woo Koh, 강행봉, Hang-bong Kang

“… 젊은 운전자와는 다른 운전 강도를 가지고 있어 기존의 방식으로는 검출이 불가능 하며, 데이터를 보정하는 등의 새로운 방법이 필요하다. 그리하여, 본 연구에서는 기존의 클러스터링 기법(K-means, Expectation - maximization algorithm…”
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Parameter estimation for load‐sharing system subject to Wiener degradation process using the expectation‐maximization algorithm by Xu, Jianyu, Liu, Bin, Zhao, Xiujie

“…‐sharing systems with components subject to sudden failures have been intensely studied in literatures with detailed estimation and analysis approaches, those with components…”
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Human Intention Inference Using Expectation-Maximization Algorithm With Online Model Learning by Ravichandar, Harish Chaandar, Dani, Ashwin P.

“… The unknown model is learned by using a neural network. Based on the learned model, an approximate expectation-maximization algorithm is developed to infer human intentions…”
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A numerically efficient implementation of the expectation maximization algorithm for state space models by Mader, Wolfgang, Linke, Yannick, Mader, Malenka, Sommerlade, Linda, Timmer, Jens, Schelter, Björn

“…Empirical time series are subject to observational noise. Naïve approaches that estimate parameters in stochastic models for such time series are likely to fail due to the error-in-variables challenge…”
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Expectation-maximization algorithm for amplitude estimation of saturated optical transient signals by Kagie, Matthew J, Lanterman, Aaron D

“… We develop an expectation-maximization (EM) algorithm to estimate the amplitude of a Poisson intensity with a known shape in the presence of additive background counts, where the measurements are subject to saturation effects…”
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Trend analysis of the power law process using Expectation–Maximization algorithm for data censored by inspection intervals by Taghipour, Sharareh, Banjevic, Dragan

“…; however, in many situations, such as hidden failures, failure times are subject to censoring…”
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Time series modeling of surface EMG based hand manipulation identification via expectation maximization algorithm by Lu, Yang, Ju, Zhaojie, Liu, Yurong, Shen, Yuxuan, Liu, Honghai

“…In this paper, we focus on the method of employing the expectation maximization (EM) algorithm to the modeling of surface electromyography (sEMG) signals based…”
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Estimating the Variance of Estimator of the Latent Factor Linear Mixed Model Using Supplemented Expectation-Maximization Algorithm by Angraini, Yenni, Notodiputro, Khairil Anwar, Folmer, Henk, Saefuddin, Asep, Toharudin, Toni

“…This paper deals with symmetrical data that can be modelled based on Gaussian distribution, such as linear mixed models for longitudinal data. The latent…”
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A hidden Markov model for continuous longitudinal data with missing responses and dropout by Pandolfi, Silvia, Bartolucci, Francesco, Pennoni, Fulvia

“…We propose a hidden Markov model for multivariate continuous longitudinal responses with covariates that accounts for three different types of missing pattern:…”
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Semiparametric model for bivariate survival data subject to biased sampling by Piao, Jin, Ning, Jing, Shen, Yu

“…To understand better the relationship between patient characteristics and their residual survival after an intermediate event such as the local recurrence of…”
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Robust online identification for hybrid multirate systems based on recursive EM algorithm by Guo, Fan, Huang, Biao

“…This paper focuses on robust identification for both linear time-invariant and time-variant multirate systems with time delays subject to outliers…”
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A fast Monte Carlo expectation-maximization algorithm for estimation in latent class model analysis with an application to assess diagnostic accuracy for cervical neoplasia in women with atypical glandular cells by Kang, Le, Carter, Randy, Darcy, Kathleen, Kauderer, James, Liao, Shu-Yuan

“…In this article, we use a latent class model (LCM) with prevalence modeled as a function of covariates to assess diagnostic test accuracy in situations where…”
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Robust algorithm for attack detection based on time‐varying hidden Markov model subject to outliers by Lu, Genghong, Feng, Dongqin, Huang, Biao

“…Summary The problem of robust attack detection and prediction for networked control systems in the presence of outliers is discussed in this article. The…”
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Majorization ordering of dependent aggregate claims clustered by statistical machine learning by Nevruz, Ezgi, Yildirak, Kasirga, SenGupta, Ashis

“… We consider the spatial and temporal features of claims, supposing that individual claims subject to similar environmental risks are dependent…”
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