Výsledky vyhľadávania - Expectation conditional-maximization algorithm

The dynamic 'expectation-conditional maximization either' algorithm Autor 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 Autor 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 Autor 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 Autor 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 Autor 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 Autor 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 Autor 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 Autor 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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Robust Clustering Using Exponential Power Mixtures Autor 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 Autor 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 Autor 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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Rigid and Articulated Point Registration with Expectation Conditional Maximization Autor 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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A Faster Maximum-Likelihood Modulation Classification in Flat Fading Non-Gaussian Channels Autor 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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A practical model‐based segmentation approach for improved activation detection in single‐subject functional magnetic resonance imaging studies Autor 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 Autor 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 Autor 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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On Classical Inference of a Flexible Semi‐Parametric Class of Distributions Under a Joint Balanced Progressive Censoring Scheme Autor 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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High-throughput XPS spectrum modeling with autonomous background subtraction for 3d5/2 peak mapping of SnS Autor 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 Autor 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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Lifetime prognostics for deteriorating systems with time-varying random jumps Autor Zhang, Jian-Xun, Hu, Chang-Hua, He, Xiao, Si, Xiao-Sheng, Liu, Yang, Zhou, Dong-Hua

“…•A degradation model with time-varying random jumps is presented.•The approximated analytical lifetime of the proposed model is derived.•A two-step parameters…”
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