Search Results - "expectation–maximization algorithm (EM-algorithm)"

Indirect/Direct Learning Coverage Control for Wireless Sensor and Mobile Robot Networks by Liu, Yen-Chen, Lin, Tsen-Chang, Lin, Mu-Tai

“…This article proposes indirect/direct learning control schemes for wireless sensor and mobile robot networks to cover an environment according to the density…”
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Remaining useful life re-prediction methodology based on Wiener process: Subsea Christmas tree system as a case study by Cai, Baoping, Fan, Hongyan, Shao, Xiaoyan, Liu, Yonghong, Liu, Guijie, Liu, Zengkai, Ji, Renjie

“…•A remaining useful life re-prediction method based on Wiener process is proposed.•Current and historical data are used for re-prediction model…”
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Application of expectation–maximization algorithm to estimate random walk process noise for GNSS tropospheric delay by Zhang, Xinggang, Li, Pan, Wang, Miaomiao, Ge, Maorong, Schuh, Harald

“…–Maximization algorithm (EM algorithm) to validate the feasibility of estimating RWPN using only GNSS measurements…”
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Estimating population haplotype frequencies from pooled SNP data using incomplete database information by Pirinen, Matti

“…Motivation: Information about haplotype structures gives a more detailed picture of genetic variation between individuals than single-locus analyses. Databases…”
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2D evaluation of spectral LIBS data derived from heterogeneous materials using cluster algorithm by Gottlieb, C., Millar, S., Grothe, S., Wilsch, G.

“…Laser-induced Breakdown Spectroscopy (LIBS) is capable of providing spatially resolved element maps in regard to the chemical composition of the sample. The…”
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A simple and efficient eM-algorithm for one-shot device data analysis by Zhu, Xiaojun, Li, Yanmin, Li, Tao, Balakrishnan, N.

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A non-parametric approach to estimate multiplicity of infection and pathogen haplotype frequencies by Kayanula, Loyce, Schneider, Kristan Alexander

“…IntroductionThe presence of multiple genetically distinct variants (lineages) within an infection (multiplicity of infection, MOI) is common in infectious…”
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Likelihood inference for the destructive exponentially weighted Poisson cure rate model with Weibull lifetime and an application to melanoma data by Pal, Suvra, Balakrishnan, N.

“…In this paper, we develop the steps of the expectation maximization algorithm (EM algorithm) for the determination of the maximum likelihood estimates…”
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MODELING THE MANY EARTHQUAKES IN SUMATRA USING POISSON HIDDEN MARKOV MODELS AND EXPECTATION MAXIMIZATION ALGORITHM by Alwansyah, Muhammad Arib, Rachmawati, Ramya

“… The Poisson Hidden Markov Models (PHMMs) method is used to overcome overdispersion, then applying the Expectation-Maximization Algorithm (EM algorithm…”
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후방산란 통신시스템에서 군집화를 통한 블라인드 채널 추정 by 김수현, 이동구, 선영규, 심이삭, 황유민, 신요안, 김동인, 김진영

“… 채널 추정기가 필요하다. 본 논문에서는 주변 후방산란 통신에서 기댓값-최대화 알고리즘(Expectation-Maximization Algorithm, EM algorithm) 기반의 채널 추정기의 성능 개선을 위해 K-means 알고리즘 도입 방안을 고려하였다. 모의실험은 제안한 채널 추정기의 성능 확인을 위해 성능 지표로 평균 제곱 오차…”
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Dam Deformation Monitoring Data Analysis Using Space-Time Kalman Filter by Dai, Wujiao, Liu, Ning, Santerre, Rock, Pan, Jiabao

“… Next, the observation noise covariance, system noise covariance, the initial mean vector state, and its covariance were estimated using the Expectation Maximization algorithm (EM algorithm) in the second step…”
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Functional mapping of expression quantitative trait loci that regulate oscillatory gene expression by Berg, Arthur, Li, Ning, Tong, Chunfa, Wang, Zhong, Berceli, Scott A, Wu, Rongling

“…Genetic networks underlying many biological processes, such as vertebrate somitogenesis, cell cycle, hormonal signaling, and circadian rhythms, are…”
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The Regulation of Genetic Data by the Em Algorithm by Zhang, Yan, Wei, Shiyang, Cao, Fasheng, Zhou, Fuping, Lu, Qiannan, Wang, Xiangdie, He, Jiankun

“… That is, given a prior knowledge such as the network structure, we respectively set random 1/3, 1/4, 1/5 loss of the leukemia data, then use the Expectation-Maximization algorithm (EM algorithm…”
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ISAR Images Segmentation Based on Spatially Variant Mixture Multiscale Autoregressive Model by Ju, Yanwei, Zhang, Yan, Guo, Feng

“…) model to segment ISAR images. The estimation of parameters of the model is easily performed via least square estimation and expectation maximization algorithm (EM algorithm…”
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Expectation maximization and latent class models by Banos, Hector

“…Latent tree models are tree structured graphical models where some random variables are observable while others are latent. These models are used to model data…”
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Expectation-maximization algorithm for evaluation of wind direction characteristics by Marek, Jaroslav, Heckenbergerova, Jana

“… This paper presents the probabilisticmodeling of the prevailing wind directions. Expectation-maximization algorithm (EM algorithm…”
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A self -adaptive random walk algorithm to identify genetic epistatic effects by Lorenz, William Andrew

“…A novel search algorithm is developed for finding gene interaction, or epistasis, involved in determining quantitative traits. The algorithm is able to…”
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Learning, tracking and recognition of 3D objects by Denzler, J., Bess, R., Hornegger, J., Niemann, H., Paulus, D.

“… For learning 3-D objects using two-dimensional views and estimating the object's pose, a uniform statistical method is presented which is based on the expectation-maximization-algorithm (EM-algorithm…”
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Capture-recapture modelling for zero-truncated count data allowing for heterogeneity by Anan, Orasa

“… The two parameters of the ZTGP are estimated by using a maximum likelihood with the Expectation-Maximisation algorithm (EM algorithm…”
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