Semisupervised Association Learning Based on Partial Differential Equations for Sparse Representation of Image Class Attributes by Wei Song, Guang Hu, Liuqing OuYang, Zhenjie Zhu

“…Using the variational expectation-maximization algorithm, the whole generative process model can be inferred. …”
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Population-Level Cell Trajectory Inference Based on Gaussian Distributions by Xiang Chen, Yibing Ma, Yongle Shi, Yuhan Fu, Mengdi Nan, Qing Ren, Jie Gao

“…CPvGTI utilizes a Gaussian mixture model, optimized by the Expectation–Maximization algorithm, to construct new cell populations in the original data space. …”
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Modeling and simulation for toxicity assessment by Cristina Anton, Jian Deng, Yau Shu Wong, Yile Zhang, Weiping Zhang, Stephan Gabos, Dorothy Yu Huang, Can Jin

“…To efficiently estimate the model's parameters, we design an Expectation Maximization algorithm. The model is validated by showing that it accurately represents the information provided by the TCRCs recorded after the experiments. …”
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Effects of Regional Trade Agreement to Local and Global Trade Purity Relationships by Siyu Huang, Wensha Gou, Hongbo Cai, Xiaomeng Li, Qinghua Chen

“…Here, we separate the influence of geographical distance, economic volume, and overall increase in transportation and labor costs and use the expectation maximization algorithm to optimize the parameters and quantify the trade purity indicator, which describes the true global trade environment and relationships among countries. …”
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Influence of MHC on genetic diversity and testicular expression of linked olfactory receptor genes by Mingue Kang, Byeongyong Ahn, Jae Yeol Shin, Hye-Sun Cho, Jongan Lee, Chankyu Park

“…We observed significantly higher allelic diversity (P < 0.01) in ORs with strong linkage disequilibrium (LD) to SLA compared to those with weak or no LD, and we identified 48 SLA class I-OR haplotypes using the expectation-maximization algorithm. The genetic diversity of SLA-linked ORs was positively correlated with their expression levels in the testis. …”
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Cluster-Based 3-D Channel Modeling for Massive MIMO in Subway Station Environment by Jianzhi Li, Bo Ai, Ruisi He, Mi Yang, Qi Wang, Bei Zhang, Zhangdui Zhong

“…In the hybrid approach, we apply the space-alternating generalized expectation maximization algorithm to estimate the multipath components (MPCs), and use the multipath component distance-based tracking algorithm and the KPowerMeans algorithm for MPCs tracking and clustering. …”
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Generative Simplex Mapping: Non-Linear Endmember Extraction and Spectral Unmixing for Hyperspectral Imagery by John Waczak, David J. Lary

“…Model parameters are determined using a generalized expectation-maximization algorithm, which guarantees non-negativity for extracted endmembers. …”
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Computational model of CAR T-cell immunotherapy dissects and predicts leukemia patient responses at remission, resistance, and relapse by Chao Ma, Weiqiang Chen, Lunan Liu, Zhuoyu Zhang, Matthew T Witkowski, Iannis Aifantis, Saba Ghassemi

“…Parameter estimation was conducted using the stochastic approximation expectation maximization algorithm for nonlinear mixed-effect modeling.Results We revealed critical determinants related to patient responses at remission, resistance, and relapse. …”
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Prevalence estimates for COVID-19-related health behaviors based on the cheating detection triangular model by Shu-Hui Hsieh, Pier Francesco Perri, Adrian Hoffmann

“…Methods In an online survey of 1,714 participants in Taiwan, we obtained CDTRM prevalence estimates via an Expectation-Maximization algorithm for three COVID-19-related health behaviors with different levels of sensitivity. …”
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