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在“Elsevier电子期刊”中，命中：764条，耗时：0.0219886 秒

在所有数据库中总计命中：2,374条

1.An expectation-maximization algorithm for query translation based on pseudo-relevant documents

作者：Javid Dadashkarimi^a ; ^{dadashkarimi@ut.ac.ir} ; Azadeh Shakery ; ^a ; ^b ; ^{shakery@ut.ac.ir} ; Heshaam Faili^a ; ^b ; ^{hfaili@ut.ac.ir} ; Hamed Zamani¹ ; ^c ; ^{zamani@cs.umass.edu}

关键词：Dictionary-based cross-language information retrieval ; Query translation ; Expectation maximization ; Pseudo-relevant documents

刊名：Information Processing & Management

出版年：2017

2.Expectation-maximization algorithm for direct position determination

作者：Elad Tzoreff ^{eladtzor@post.tau.ac.il} ; Anthony J. Weiss ; ^{ajw@eng.tau.ac.il}

关键词：Time of Arrival (TOA) ; Expectation Maximization (EM) ; Laplace Method ; Direct Position Determination (DPD)

刊名：Signal Processing

出版年：2017

3.A parameter selection method of the deterministic anti-annealing algorithm for network exploring

作者：Bianfang Chai^a ; ^c ; ^{chaibianfang@163.com}Author Vitae ; Jinghong Wang^bAuthor Vitae ; Jian Yu^cAuthor Vitae

关键词：Mixture model ; Community detection ; Deterministic anti-annealing EM algorithm ; Convergence rate ; Jacobian matrix

刊名：Neurocomputing

出版年：2017

4.Noise covariance identification for nonlinear systems using expectation maximization and moving horizon estimation

作者：Ming Ge^a ; ^{ming.ge08@imperial.ac.uk}Author Vitae ; Eric C. Kerrigan^b ; ^{e.kerrigan@imperial.ac.uk}Author Vitae

关键词：Noise covariance estimation ; Nonlinear system ; Expectation maximization ; State estimation ; Full information estimation ; Moving horizon estimation ; Extended Kalman filter

刊名：Automatica

出版年：2017

5.Segmentation of clusters by template rotation expectation maximization

作者：Carl-Magnus Svensson ; ^a ; ^{carl-magnus.svensson@leibniz-hki.de} ; Karen Grace Bondoc^b ; Georg Pohnert^b ; Marc Thilo Figge^a ; ^c ; ^{thilo.figge@leibniz-hki.de}

关键词：Segmentation ; Generative model ; Expectation maximization ; Template matching

刊名：Computer Vision and Image Understanding

出版年：2017

6.MUSIC-Expected maximization gaussian mixture methodology for clustering and detection of task-related neuronal firing rates

作者：Alexis Ortiz-Rosario ; Ph.D. student^a ; Hojjat Adeli^b ; ^{adeli.1@osu.edu" class="auth_mail" title="E-mail the corresponding author} (Dist. Member ASCE ; Fellow IEEE ; Fellow AAAS ; Fellow American Neurological Assoc. Professor) ; John A. Buford^c (Associate Professor ; Director)

关键词：Multiple signal classification ; Gaussian mixture model ; Expectation-maximization algorithm ; Firing rate ; Neurons ; Signal processing ; Empirical wavelet transform

刊名：Behavioural Brain Research

出版年：2017

7.EM-based identification of continuous-time ARMA Models from irregularly sampled data

作者：Fengwei Chen^a ; ^b ; ^c ; ^{fengwei.chen@outlook.com}Author Vitae ; Juan C. Agü ; ero^d ; ^e ; ^{juan.aguero@usm.cl}Author Vitae ; Marion Gilson^a ; ^b ; ^{marion.gilson@univ-lorraine.fr}Author Vitae ; Hugues Garnier^a ; ^b ; ^{hugues.garnier@univ-lorraine.fr}Author Vitae ; Tao Liu^c ; ^{tliu@dlut.edu.cn}Author Vitae

关键词：Continuous-time ARMA model ; Maximum-likelihood ; Expectation&ndash ; maximization ; Irregularly sampled data

刊名：Automatica

出版年：2017

8.Model selection for Gaussian mixture model based on desirability level criterion

作者：Weishi Peng ^{peng_weishi@163.com}

关键词：Gaussian mixture model ; EM algorithm ; Model selection ; Desirability level criterion

刊名：Optik - International Journal for Light and Electron Optics

出版年：2017

9.On learning the visibility for joint importance sampling of low-order scattering

作者：Guo Zhou^a ; ^b ; ^c ; ^{zhouguo@ict.ac.cn}Author Vitae ; Dengming Zhu^a ; ^bAuthor Vitae ; Ting Li^dAuthor Vitae ; Zhaoqi Wang^a ; ^bAuthor Vitae ; Yongquan Zhou^eAuthor Vitae

关键词：Light transport simulation ; Participating media ; Online expectation-maximization ; Importance sampling

刊名：Neurocomputing

出版年：2017

10.Sparse vector Markov switching autoregressive models. Application to multivariate time series of temperature

作者：Valé ; rie Monbet^a ; ^{valerie.monbet@univ-rennes1.fr} ; Pierre Ailliot^b ; ^{pierre.ailliot@univ-brest.fr}

关键词：Markov switching vector autoregressive process ; Sparsity ; Penalized likelihood ; SCAD ; EM algorithm ; Daily temperature ; Stochastic weather generators

刊名：Computational Statistics & Data Analysis

出版年：2017

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