Works about EXPECTATION-maximization algorithms
Results: 1980
EM algorithm for bounded generalized t mixture model with an application to image segmentation: EM algorithm for bounded generalized t mixture...: A. Mahdavi et al.
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- Computational & Applied Mathematics, 2025, v. 44, n. 2, p. 1, doi. 10.1007/s40314-024-03050-5
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Scale-mixture Birnbaum-Saunders quantile regression models applied to personal accident insurance data: Scale-mixture Birnbaum-Saunders quantile...: A. Dasilva et al.
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- Computational & Applied Mathematics, 2025, v. 44, n. 2, p. 1, doi. 10.1007/s40314-024-03037-2
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A contaminated regression model for count health data.
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- Statistical Methods in Medical Research, 2025, v. 34, n. 2, p. 369, doi. 10.1177/09622802241307613
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Joint regression analysis of clustered current status data with latent variables.
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- Statistical Methods in Medical Research, 2025, v. 34, n. 2, p. 224, doi. 10.1177/09622802241280792
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Generalized linear model based on latent factors and supervised components: Generalized linear model based on latent...: J. Gibaud et al.
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- Computational Statistics, 2025, v. 40, n. 3, p. 1475, doi. 10.1007/s00180-024-01544-8
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The root-Gaussian Cox Process for spatial-temporal disease mapping with aggregated data: The root-Gaussian Cox Process for spatial-temporal...: Z. G. Asfaw et al.
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- Computational Statistics, 2025, v. 40, n. 3, p. 1171, doi. 10.1007/s00180-024-01532-y
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Semiparametric regression analysis of panel binary data with an informative observation process.
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- Computational Statistics, 2025, v. 40, n. 3, p. 1285, doi. 10.1007/s00180-024-01528-8
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Reconstruction of Highway Vehicle Paths Using a Two-Stage Model.
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- Mathematics (2227-7390), 2025, v. 13, n. 4, p. 618, doi. 10.3390/math13040618
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Modeling the Inter-Arrival Time Between Severe Storms in the United States Using Finite Mixtures.
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- Risks, 2025, v. 13, n. 2, p. 19, doi. 10.3390/risks13020019
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基于拉普拉斯混合模型的航迹抗差关联方法.
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- Telecommunication Engineering, 2025, v. 65, n. 2, p. 313, doi. 10.20079/j.issn.1001-893x.230927002
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Stochastic Block Smooth Graphon Model.
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- Journal of Computational & Graphical Statistics, 2025, v. 34, n. 1, p. 140, doi. 10.1080/10618600.2024.2374571
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Interval-Censored Linear Quantile Regression.
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- Journal of Computational & Graphical Statistics, 2025, v. 34, n. 1, p. 187, doi. 10.1080/10618600.2024.2365740
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Variance-Reduced Stochastic Optimization for Efficient Inference of Hidden Markov Models.
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- Journal of Computational & Graphical Statistics, 2025, v. 34, n. 1, p. 222, doi. 10.1080/10618600.2024.2350476
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A Rigorously Bayesian Beam Model and an Adaptive Full Scan Model for Range Finders in Dynamic Environments.
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- Journal of Artificial Intelligence Research, 2008, v. 33, p. 179, doi. 10.1613/jair.2540
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A QUASI-MAXIMUM LIKELIHOOD APPROACH FOR LARGE, APPROXIMATE DYNAMIC FACTOR MODELS.
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- Review of Economics & Statistics, 2012, v. 94, n. 4, p. 1014, doi. 10.1162/REST_a_00225
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An expectation-maximisation approach for simultaneous pixel classification and tracer kinetic modelling in dynamic contrast enhanced-magnetic resonance imaging.
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- Medical & Biological Engineering & Computing, 2011, v. 49, n. 4, p. 485, doi. 10.1007/s11517-010-0695-x
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Variational bayesian clustering algorithm for unsupervised anomalous sound detection incorporating VH-BCL+.
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- Multimedia Tools & Applications, 2024, v. 83, n. 15, p. 43777, doi. 10.1007/s11042-023-17006-0
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Expectation propagation learning of finite and infinite Gamma mixture models and its applications.
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- Multimedia Tools & Applications, 2023, v. 82, n. 21, p. 33267, doi. 10.1007/s11042-023-14666-w
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Breast lesion detection from MRI images using quasi-oppositional slime mould algorithm.
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- Multimedia Tools & Applications, 2023, v. 82, n. 20, p. 30599, doi. 10.1007/s11042-023-14329-w
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An EM-based optimization of synthetic reduced nearest neighbor model towards multiple modalities representation with human interpretability.
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- Multimedia Tools & Applications, 2022, v. 81, n. 29, p. 41697, doi. 10.1007/s11042-021-11241-z
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Hawkes Processes Framework With a Gamma Density As Excitation Function: Application to Natural Disasters for Insurance.
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- Methodology & Computing in Applied Probability, 2022, v. 24, n. 4, p. 2509, doi. 10.1007/s11009-022-09938-1
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Statistical Inference for Partially Observed Markov-Modulated Diffusion Risk Model.
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- Methodology & Computing in Applied Probability, 2022, v. 24, n. 2, p. 571, doi. 10.1007/s11009-022-09932-7
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On Burr XII Distribution Analysis Under Progressive Type-II Hybrid Censored Data.
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- Methodology & Computing in Applied Probability, 2017, v. 19, n. 2, p. 665, doi. 10.1007/s11009-016-9514-7
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A Stochastic EM Algorithm for Quantile and Censored Quantile Regression Models.
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- Computational Economics, 2018, v. 52, n. 2, p. 555, doi. 10.1007/s10614-017-9704-6
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Measurement Error Models for Replicated Data Under Asymmetric Heavy-Tailed Distributions.
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- Computational Economics, 2018, v. 52, n. 2, p. 531, doi. 10.1007/s10614-017-9702-8
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Optimal Prediction with Conditionally Heteroskedastic Factor Analysed Hidden Markov Models.
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- Computational Economics, 2009, v. 34, n. 4, p. 323, doi. 10.1007/s10614-009-9181-7
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THE SEGMENTATION OF BRAIN MR IMAGES USING REFORMATIVE EXPECTATION-MAXIMIZATION ALGORITHM.
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- International Journal of Image & Graphics, 2010, v. 10, n. 2, p. 289, doi. 10.1142/S0219467810003780
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Fuzzy C-Means and Mixture Distribution Models in the Presence of Noise Clusters.
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- International Journal of Image & Graphics, 2002, v. 2, n. 4, p. 573, doi. 10.1142/S0219467802000858
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Estimation of the Parameters of Generalized Inverse Weibull Geometric Distribution and its Application.
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- Fluctuation & Noise Letters, 2021, v. 20, n. 5, p. 1, doi. 10.1142/S0219477521500437
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The Noisy Expectation-Maximization Algorithm for Multiplicative Noise Injection.
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- Fluctuation & Noise Letters, 2016, v. 15, n. 1, p. -1, doi. 10.1142/S0219477516500073
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THE NOISY EXPECTATION-MAXIMIZATION ALGORITHM.
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- Fluctuation & Noise Letters, 2013, v. 12, n. 3, p. -1, doi. 10.1142/S0219477513500120
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A Dual‐Purpose Model for Binary Data: Estimating Ability and Misconceptions.
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- Journal of Educational Measurement, 2024, v. 61, n. 2, p. 179, doi. 10.1111/jedm.12383
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Expectation Parameters in the Poisson Mixture Regression Model for Latent Class by Applying Genetic Algorithm and Maximization Algorithm.
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- Journal of Economics & Administrative Sciences, 2024, v. 30, n. 140, p. 434, doi. 10.33095/xammnc51
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Comparison of Some Methods for Estimating Mixture of Linear Regression Models with Application.
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- Journal of Economics & Administrative Sciences, 2021, v. 27, n. 129, p. 171, doi. 10.33095/jeas.v27i129.2183
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基于割点的社交网络影响最大化问题.
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- Journal of Frontiers of Computer Science & Technology, 2022, v. 16, n. 6, p. 1316, doi. 10.3778/j.issn.1673-9418.2011018
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Hybrid Energy Storage Systems Based on Redox-Flow Batteries: Recent Developments, Challenges, and Future Perspectives.
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- Batteries, 2023, v. 9, n. 4, p. 211, doi. 10.3390/batteries9040211
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混合广义部分线性加性模型的参数估计.
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- Journal of Guangxi Normal University - Natural Science Edition, 2022, v. 40, n. 1, p. 108, doi. 10.16088/j.issn.1001-6600.2021060909
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Spectrum adapted expectation-maximization algorithm for high-throughput peak shift analysis.
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- Science & Technology of Advanced Materials, 2019, v. 20, n. 1, p. 733, doi. 10.1080/14686996.2019.1620123
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基于高斯混合模型及近似线性规划的 风电系统校正控制方法 .
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- Electric Power Automation Equipment / Dianli Zidonghua Shebei, 2022, v. 42, n. 12, p. 35, doi. 10.16081/j.epae.202205066
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Genetic parameters for rear legs/rear view in Brown Swiss cattle.
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- Journal of Animal Science, 2006, v. 84, p. 274
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Revisiting Probabilistic Latent Semantic Analysis: Extensions, Challenges and Insights.
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- Technologies (2227-7080), 2024, v. 12, n. 1, p. 5, doi. 10.3390/technologies12010005
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A Novel Kernel-Based Regularization Technique for PET Image Reconstruction.
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- Technologies (2227-7080), 2017, v. 5, n. 2, p. 37, doi. 10.3390/technologies5020037
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Analysis of Receiver Operating Characteristic Curves for Cure Survival Data and Mismeasured Biomarkers.
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- Mathematics (2227-7390), 2025, v. 13, n. 3, p. 424, doi. 10.3390/math13030424
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Fitting Penalized Estimator for Sparse Covariance Matrix with Left-Censored Data by the EM Algorithm.
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- Mathematics (2227-7390), 2025, v. 13, n. 3, p. 423, doi. 10.3390/math13030423
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Variational Bayesian EM Algorithm for Quantile Regression in Linear Mixed Effects Models.
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- Mathematics (2227-7390), 2024, v. 12, n. 21, p. 3311, doi. 10.3390/math12213311
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Zero-Inflated Binary Classification Model with Elastic Net Regularization.
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- Mathematics (2227-7390), 2024, v. 12, n. 19, p. 2990, doi. 10.3390/math12192990
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A Penalized Empirical Likelihood Approach for Estimating Population Sizes under the Negative Binomial Regression Model.
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- Mathematics (2227-7390), 2024, v. 12, n. 17, p. 2674, doi. 10.3390/math12172674
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An Improved Expectation–Maximization Bayesian Algorithm for GWAS.
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- Mathematics (2227-7390), 2024, v. 12, n. 13, p. 1944, doi. 10.3390/math12131944
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Parameter Estimation of Birnbaum-Saunders Distribution under Competing Risks Using the Quantile Variant of the Expectation-Maximization Algorithm.
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- Mathematics (2227-7390), 2024, v. 12, n. 11, p. 1757, doi. 10.3390/math12111757
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Variational Bayesian Variable Selection for High-Dimensional Hidden Markov Models.
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- Mathematics (2227-7390), 2024, v. 12, n. 7, p. 995, doi. 10.3390/math12070995
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