Výsledky vyhľadávania - Alternating Expectation Conditional Maximization algorithm

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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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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Estimating basis functions in massive fields under the spatial mixed effects model Autor Pazdernik, Karl, Maitra, Ranjan

“… For massive datasets, fixed rank kriging using the expectation–maximization algorithm for estimation has been proposed as an alternative to the usual but computationally prohibitive kriging method…”
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The EM Algorithm-an Old Folk-song Sung to a Fast New Tune Autor Meng, Xiao-Li, Van Dyk, David

“… Second, summarizing various recent extensions of the EM algorithm, we formulate a general alternating expectation…”
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An epigenetic pacemaker is detected via a fast conditional expectation maximization algorithm Autor Snir, Sagi, Pellegrini, Matteo

“… This yields an extremely efficient Conditional Expectation Maximization algorithm, alternating between the two sets while increasing the overall likelihood…”
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Timing and Carrier Synchronization With Channel Estimation in Multi-Relay Cooperative Networks Autor Nasir, Ali A., Mehrpouyan, Hani, Blostein, Steven D., Durrani, Salman, Kennedy, Rodney A.

“… Next, two iterative algorithms based on the expectation conditional maximization (ECM) and space-alternating generalized expectation-maximization…”
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Serial and parallel implementations of model-based clustering via parsimonious Gaussian mixture models Autor McNicholas, P.D., Murphy, T.B., McDaid, A.F., Frost, D.

“… This algorithm uses the alternating expectation-conditional maximization (AECM) variant of the expectation-maximization (EM) algorithm…”
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An improvement to the interacting multiple model (IMM) algorithm Autor Johnston, L.A., Krishnamurthy, V.

“…Computing the optimal conditional mean state estimate for a jump Markov linear system requires exponential complexity, and hence, practical filtering algorithms are necessarily suboptimal…”
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Flexible High-Dimensional Unsupervised Learning with Missing Data Autor Wei, Yuhong, Tang, Yang, McNicholas, Paul D.

“…The mixture of factor analyzers (MFA) model is a famous mixture model-based approach for unsupervised learning with high-dimensional data. It can be useful,…”
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Mixtures of skew-t factor analyzers Autor Murray, Paula M., Browne, Ryan P., McNicholas, Paul D.

“… The alternating expectation–conditional maximization algorithm is used for model parameter estimation and the Bayesian information criterion is used for model selection…”
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Mixtures of t$$ t $$ factor analysers with censored responses and external covariates: An application to educational data from Peru Autor Wang, Wan‐Lun, Castro, Luis M., Li, Huei‐Jyun, Lin, Tsung‐I

“…Analysing data from educational tests allows governments to make decisions for improving the quality of life of individuals in a society. One of the key…”
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Joint channel and frequency offset estimation in distributed MIMO flat-fading channels Autor The-Hanh Pham, Nallanathan, A., Ying-Chang Liang

“… We present two computationally efficient iterative algorithms based on expectation conditional maximization (ECM…”
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Multivariate t linear mixed models for irregularly observed multiple repeated measures with missing outcomes Autor Wang, Wan-Lun

“… Under the missing at random mechanism, an efficient alternating expectation‐conditional maximization (AECM…”
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ECM algorithm for estimating vector ARMA model with variance gamma distribution and possible unbounded density Autor Nitithumbundit, Thanakorn, Chan, Jennifer S.K.

“… This paper proposes a novel alternating expectation conditional maximisation (AECM) algorithm to estimate the vector autoregressive moving average (VARMA…”
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Alternating Maximization and the EM Algorithm in Maximum-Likelihood Direction Finding Autor Gong, Ming-yan, Lyu, Bin

“…The classic expectation-maximization (EM) algorithm in maximum-likelihood direction finding updates the complete-data sufficient statistics by finding their conditional expectations…”
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Cluster-weighted ...-factor analyzers for robust model-based clustering and dimension reduction Autor Subedi, Sanjeena, Punzo, Antonio, Ingrassia, Salvatore, Mcnicholas, Paul D

“… A family of twenty parsimonious variants of this model is also presented and the alternating expectation-conditional maximization algorithm, for maximum likelihood estimation of the parameters…”
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Robust linear mixed models using the skew t distribution with application to schizophrenia data Autor Ho, Hsiu J., Lin, Tsung-I.

“… We present an efficient alternating expectation‐conditional maximization (AECM) algorithm for the computation of maximum likelihood estimates of parameters on the basis of two convenient hierarchical formulations…”
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Robust clustering of multiply censored data via mixtures of t factor analyzers Autor Wang, Wan-Lun, Lin, Tsung-I

“… For maximum likelihood estimation, we construct an alternating expectation conditional maximization algorithm in which the E-step relies on the first-two moments of truncated multivariate…”
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Extending mixtures of multivariate t-factor analyzers Autor Andrews, Jeffrey L., McNicholas, Paul D.

“…-conditional maximization algorithm and convergence is determined…”
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Model-based clustering of regression time series data via APECM-an AECM algorithm sung to an even faster beat Autor Chen, Wei-Chen, Maitra, Ranjan

“…) algorithm can be employed, although it is computationally demanding. The somewhat fast “tune” to the EM “folk song” provided by the Alternating Expectation Conditional Maximization…”
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