Výsledky vyhledávání - "Expectation―maximization"

Stochastic Optimal Control for Multivariable Dynamical Systems Using Expectation Maximization Autor Mallick, Prakash, Chen, Zhiyong

“… systems subject to measurement noise that can be fitted into linear time-varying stochastic models…”
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A novel expectation-maximization approach to infer general diploid selection from time-series genetic data Autor Fine, Adam G., Steinrücken, Matthias

“… Here, we extend a previously introduced expectation-maximization algorithm for the inference of additive selection coefficients to the case of general diploid selection, in which the…”
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Parameter estimation for load‐sharing system subject to Wiener degradation process using the expectation‐maximization algorithm Autor 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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Reinforcement learning using expectation maximization based guided policy search for stochastic dynamics Autor Mallick, Prakash, Chen, Zhiyiong, Zamani, Mohsen

“… of various unseen instances. This paper deals with a trajectory optimization problem for an unknown dynamical system subject to measurement noise using expectation maximization and extends it to learning (optimal…”
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Human Intention Inference Using Expectation-Maximization Algorithm With Online Model Learning Autor 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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Expectation maximization based framework for joint localization and parameter estimation in single particle tracking from segmented images Autor Lin, Ye, Andersson, Sean B.

“…Single Particle Tracking (SPT) is a well known class of tools for studying the dynamics of biological macromolecules moving inside living cells. In this paper,…”
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Parameter Estimation of Autoregressive-Exogenous and Autoregressive Models Subject to Missing Data Using Expectation Maximization Autor Horner, Matthew, Pakzad, Shamim N., Gulgec, Nur Sila

“… A missing data analysis is performed using maximum-likelihood estimation, the expectation maximization (EM…”
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A numerically efficient implementation of the expectation maximization algorithm for state space models Autor Mader, Wolfgang, Linke, Yannick, Mader, Malenka, Sommerlade, Linda, Timmer, Jens, Schelter, Björn

“… State space models (SSM) explicitly include observational noise. Applying the expectation maximization (EM…”
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Expectation-maximization algorithm for amplitude estimation of saturated optical transient signals Autor 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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Affective analysis in machine learning using AMIGOS with Gaussian expectation-maximization model Autor Kaliappan, Balamurugan, Sudalaiyadumperumal, Bakkialakshmi Vaithialingam, Thalavaipillai, Sudalaimuthu

“…Investigating human subjects is the goal of predicting human emotions in the stock market…”
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Template Independent Component Analysis: Targeted and Reliable Estimation of Subject-level Brain Networks Using Big Data Population Priors Autor Mejia, Amanda F., Nebel, Mary Beth, Wang, Yikai, Caffo, Brian S., Guo, Ying

“… While such databases have been used to study group-level features of populations directly, they are currently underutilized as a resource to inform single-subject analysis…”
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Local color transfer via probabilistic segmentation by expectation-maximization Autor Yu-Wing Tai, Jiaya Jia, Chi-Keung Tang

“… We use a new expectation-maximization (EM) scheme to impose both spatial and color smoothness to infer natural connectivity among pixels…”
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Trend analysis of the power law process using Expectation–Maximization algorithm for data censored by inspection intervals Autor 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 Autor 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…”
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Single-Trial Extraction of Pure Somatosensory Evoked Potential Based on Expectation Maximization Approach Autor Chen, Wei, Chang, Chunqi, Hu, Yong

“…It is of great importance for intraoperative monitoring to accurately extract somatosensory evoked potentials (SEPs) and track its changes fast. Currently,…”
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Estimating the Variance of Estimator of the Latent Factor Linear Mixed Model Using Supplemented Expectation-Maximization Algorithm Autor Angraini, Yenni, Notodiputro, Khairil Anwar, Folmer, Henk, Saefuddin, Asep, Toharudin, Toni

“… It is usual that the model estimates are based on the expectation-maximization (EM) algorithm, but unfortunately, the algorithm does not produce the standard errors of the regression coefficients, which then hampers testing procedures…”
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Expectation Maximization method for multivariate change point detection in presence of unknown and changing covariance Autor Keshavarz, Marziyeh, Huang, Biao

“… control in the manufacturing industry, etc. In this paper, an Expectation Maximization (EM) algorithm is proposed to detect the time instants at which data properties are subject to change…”
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Unsupervised learning in a BCI chess application using label proportions and expectation-maximization Autor Hübner, David, Schall, Albrecht, Tangermann, Michael

“…) or its combination with expectation-maximization (EM) into a mixed model. In this work, we explore the feasibility of unsupervised classification…”
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Ct Image Lung Cancer Segmentation and Classification Using Canny-Based Expectation Maximization (CEM) and Machine Learning Algorithm Autor Maheswari, S, Sundar, C, SThanabal, M

“… (ES-CBIHE) technique. The de-noised images were then subject to segmentation using a novel Canny-based…”
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An Improved Compound Gaussian Model for Bivariate Surface EMG Signals Related to Strength Training Autor Kusuru, Durgesh, Turlapaty, Anish C., Thakur, Mainak

“… The parameters of the model are estimated using the iterative expectation maximization (EM) algorithm. Further, a new dataset, electromyography analysis of human activities data…”
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