Bayesian Structure Learning and Sampling of Bayesian Networks with the R Package BiDAG by Polina Suter, Jack Kuipers, Giusi Moffa, Niko Beerenwinkel

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Spatially Informed Graph Structure Learning Extracts Insights from Spatial Transcriptomics by Wan Nie, Yingying Yu, Xueying Wang, Ruohan Wang, Shuai Cheng Li

Subjects: “…graph structure learning…”
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Learning dynamic cognitive map with autonomous navigation by Daria de Tinguy, Tim Verbelen, Bart Dhoedt

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Bayesian network structure learning algorithm based on hybrid binary salp swarm-differential evolution algorithm by Bin LIU, Ruixing FAN, Haoran LIU, Liyue ZHANG, Haiyu WANG, Chunlan ZHANG

Subjects: “…Bayesian network structure learning…”
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Additive Bayesian Network Modeling with the R Package abn by Gilles Kratzer, Fraser Lewis, Arianna Comin, Marta Pittavino, Reinhard Furrer

Subjects: “…structure learning…”
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Sparse Feature-Weighted Double Laplacian Rank Constraint Non-Negative Matrix Factorization for Image Clustering by Hu Ma, Ziping Ma, Huirong Li, Jingyu Wang

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Bayesian network structure learning by dynamic programming algorithm based on node block sequence constraints by Chuchao He, Ruohai Di, Bo Li, Evgeny Neretin

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High order expression dependencies finely resolve cryptic states and subtypes in single cell data by Abel Jansma, Yuelin Yao, Jareth Wolfe, Luigi Del Debbio, Sjoerd V Beentjes, Chris P Ponting, Ava Khamseh

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