Search Results - expectation-conditional maximization algorithm

The dynamic 'expectation-conditional maximization either' algorithm by He, Yunxiao, Liu, Chuanhai

“…The 'expectation—conditional maximization either' (ECME) algorithm has proven to be an effective way of accelerating the expectation…”
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Spectrum adapted expectation-conditional maximization algorithm for extending high-throughput peak separation method in XPS analysis by Matsumura, Tarojiro, Nagamura, Naoka, Akaho, Shotaro, Nagata, Kenji, Ando, Yasunobu

“…We introduced the spectrum-adapted expectation-conditional maximization (ECM) algorithm to improve the efficiency of the peak fitting of spectral data by various fitting models…”
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The EM Algorithm-an Old Folk-song Sung to a Fast New Tune by Meng, Xiao-Li, Van Dyk, David

“…–conditional maximization algorithm AECM that couples flexible data augmentation schemes with model reduction schemes to achieve efficient computations…”
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Maximum-Likelihood Estimation of Parameters of NHPP Software Reliability Models Using Expectation Conditional Maximization Algorithm by Zeephongsekul, Panlop, Jayasinghe, Chathuri L., Fiondella, Lance, Nagaraju, Vidhyashree

“… In this paper, a variant of the EM algorithm, the expectation conditional maximization (ECM) algorithm, is introduced for the first time and it provides a promising alternative in estimating the parameters of nonhomogeneous poisson (NHPP…”
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An expectation conditional maximization algorithm for the skew-normal based stochastic frontier model by Zhu, Xiaonan, Wei, Zheng, Wang, Tonghui, Choy, S. T. Boris, Ma, Ziwei

“…In this paper, a feasible expectation-conditional-maximization (ECM) algorithm is developed for finding the maximum likelihood estimates of parameters of the skew-normal based stochastic frontier model…”
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Estimation of the probability of informed trading models via an expectation-conditional maximization algorithm by Ghachem, Montasser, Ersan, Oguz

“… To address these issues, we propose a novel estimation method called the expectation-conditional-maximization (ECM…”
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Performance Optimized Expectation Conditional Maximization Algorithms for Nonhomogeneous Poisson Process Software Reliability Models by Nagaraju, Vidhyashree, Fiondella, Lance, Zeephongsekul, Panlop, Jayasinghe, Chathuri L., Wandji, Thierry

“…) algorithms for NHPP SRGM. In contrast to the expectation maximization (EM) algorithm, the ECM algorithm reduces the maximum-likelihood estimation process to multiple simpler conditional maximization (CM)-steps…”
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Online remaining-useful-life estimation with a Bayesian-updated expectation-conditional-maximization algorithm and a modified Bayesian-model-averaging method by Yu, Yong, Si, Xiaosheng, Hu, Changhua, Zheng, Jianfei, Zhang, Jianxun

“… In this paper, a Bayesian-updated expectation-conditional-maximization (ECM) algorithm is adopted to address the uncertainty of prior parameters, and a modified Bayesian…”
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Maximum a posteriori estimation for high-throughput peak fitting in X-ray photoelectron spectroscopy by Matsumura, Tarojiro, Nagamura, Naoka, Akaho, Shotaro, Nagata, Kenji, Ando, Yasunobu

“… The computation is performed efficiently by the spectrum-adapted expectation–conditional maximisation algorithm with deterministic annealing…”
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Robust Clustering Using Exponential Power Mixtures by Zhang, Jian, Liang, Faming

“… An expectation-conditional maximization algorithm is developed to calculate the maximum likelihood estimators (MLEs…”
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Threshold-free multi-attributes physical layer authentication based on expectation–conditional maximization channel estimation in Internet of Things by Jing, Tao, Huang, Hongyan, Wu, Yue, Gao, Qinghe, Huo, Yan, Sun, Jiayu

“… In this article, we utilize an expectation–conditional maximization algorithm to provide the physical layer attribute estimates required for the authentication…”
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Investigating the effect of climate-related hazards on claim frequency prediction in motor insurance with incomplete data by Fung, Tsz Chai, Jeong, Himchan, Tzougas, George

“…A climate-related dataset provided by a Greek insurance company is analysed to quantify the risks that weather-related hazards, driven by climate change, pose…”
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A Faster Maximum-Likelihood Modulation Classification in Flat Fading Non-Gaussian Channels by Chen, Wenhao, Xie, Zhuochen, Ma, Lu, Liu, Jie, Liang, Xuwen

“…In this letter, we use squared iterative method with parameter checking to accelerate the convergence rate of expectation/conditional maximization (ECM…”
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Rigid and Articulated Point Registration with Expectation Conditional Maximization by Horaud, R, Forbes, F, Yguel, M, Dewaele, G, Jian Zhang

“… Adopting a maximum likelihood principle, we introduce an innovative EM-like algorithm, namely, the Expectation Conditional Maximization for Point Registration (ECMPR) algorithm…”
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On Classical Inference of a Flexible Semi‐Parametric Class of Distributions Under a Joint Balanced Progressive Censoring Scheme by Bhattacharyya, Dhrubasish, Kundu, Debasis

“…‐Maximization algorithm, known as the Expectation Conditional Maximization (ECM) algorithm, for obtaining maximum likelihood estimates of the model parameters…”
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A practical model‐based segmentation approach for improved activation detection in single‐subject functional magnetic resonance imaging studies by Chen, Wei‐Chen, Maitra, Ranjan

“…Functional magnetic resonance imaging (fMRI) maps cerebral activation in response to stimuli but this activation is often difficult to detect, especially in…”
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High-throughput XPS spectrum modeling with autonomous background subtraction for 3d 5/2 peak mapping of SnS by Matsumura, Tarojiro, Nagamura, Naoka, Akaho, Shotaro, Nagata, Kenji, Ando, Yasunobu

“… The optimization of the fitting model is performed by the spectrum adapted ECM algorithm that enables us to perform the peak fitting and background subtraction simultaneously through the high-throughput calculation…”
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Fast Matrix-Free Methods for Model-Based Personalized Synthetic MR Imaging by Pal, Subrata, Dutta, Somak, Maitra, Ranjan

“…Synthetic Magnetic Resonance (MR) imaging predicts images at new design parameter settings from a few observed MR scans. Model-based methods, that use both the…”
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High-throughput XPS spectrum modeling with autonomous background subtraction for 3d5/2 peak mapping of SnS by Tarojiro Matsumura, Naoka Nagamura, Shotaro Akaho, Kenji Nagata, Yasunobu Ando

“… The optimization of the fitting model is performed by the spectrum adapted ECM algorithm that enables us to perform the peak fitting and background subtraction simultaneously through the high-throughput calculation…”
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Multivariate linear mixed models with censored and nonignorable missing outcomes, with application to AIDS studies by Lin, Tsung‐I, Wang, Wan‐Lun

“…The analysis of multivariate longitudinal data could encounter some complications due to censorship induced by detection limits of the assay and nonresponse…”
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