Showing 81 - 100 results of 996 for search '"graphical model"', query time: 0.16s Refine Results
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    Inference Attacks on Genomic Data Based on Probabilistic Graphical Models by Zaobo He, Junxiu Zhou

    Published 2020-09-01
    “…We propose new inference attacks to predict unknown Single Nucleotide Polymorphisms (SNPs) and human traits of individuals in a familial genomic dataset based on probabilistic graphical models and belief propagation. With this method, the adversary can predict the unobserved genomes or traits of targeted individuals in a family genomic dataset where some individuals’ genomes and traits are observed, relying on SNP-trait association from Genome-Wide Association Study (GWAS), Mendel’s Laws, and statistical relations between SNPs. …”
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    Approximate counting, the Lovasz local lemma, and inference in graphical models by Moitra, Ankur

    Published 2018
    “…Finally, we give an application of our results to show that it is algorithmically possible to sample from the posterior distribution in an interesting class of graphical models.…”
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    Exact formulas for the normalizing constants of Wishart distributions for graphical models by Uhler, Caroline, Lenkoski, Alex, Richards, Donald

    Published 2021
    “…© Institute of Mathematical Statistics, 2018. Gaussian graphical models have received considerable attention during the past four decades from the statistical and machine learning communities. …”
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    Article
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    Exact formulas for the normalizing constants of Wishart distributions for graphical models by Uhler, Caroline, Lenkoski, Alex, Richards, Donald

    Published 2022
    “…© Institute of Mathematical Statistics, 2018. Gaussian graphical models have received considerable attention during the past four decades from the statistical and machine learning communities. …”
    Get full text
    Article
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    Approximate Counting, the Lovász Local Lemma, and Inference in Graphical Models by Moitra, Ankur

    Published 2021
    “…Finally, we give an application of our results to show that it is algorithmically possible to sample from the posterior distribution in an interesting class of graphical models.…”
    Get full text
    Article
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    Approximate Counting, the Lovász Local Lemma, and Inference in Graphical Models by Moitra, Ankur

    Published 2022
    “…Finally, we give an application of our results to show that it is algorithmically possible to sample from the posterior distribution in an interesting class of graphical models.…”
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    Article
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    Provable Algorithms for Learning and Variational Inference in Undirected Graphical Models by Koehler, Frederic

    Published 2022
    “…Graphical models are a general-purpose tool for modeling complex distributions in a way which facilitates probabilistic reasoning, with numerous applications across machine learning and the sciences. …”
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    Thesis
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    Guest Editors' Introduction to the Special Section on Probabilistic Graphical Models by Sudderth, Erik B., Huang, Thomas S., Metaxas, Dimitris, Luo, Jiebo, Ji, Qiang, Torralba, Antonio

    Published 2010
    “…The ten papers in this special section focus on applications of probabilistic graphical models in all areas of computer vision.…”
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    Article