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DESIGN AND GRAPHIC MODELING OF FIXTURING DEVICES SPECIALIZED FOR MANUFACTURING INDUSTRY
Published 2021-06-01Subjects: Get full text
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Mixture-Based Probabilistic Graphical Models for the Label Ranking Problem
Published 2021-03-01Subjects: Get full text
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84
Probabilistic graphical model for the evaluation of the emotional and dramatic personality disorders
Published 2022-11-01Subjects: Get full text
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85
DESIGN AND GRAPHIC MODELING OF FIXTURING DEVICES SPECIALIZED FOR MANUFACTURING INDUSTRY
Published 2021-06-01Subjects: Get full text
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86
Inference Attacks on Genomic Data Based on Probabilistic Graphical Models
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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PREDICTING OF LIFE CYCLES OF TOURIST SERVICES BY RESEARCHING THEIR GRAPHICAL MODELS
Published 2012-06-01Get full text
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Graphical modeling as one of the ways of learning to solve text problems
Published 2023-03-01Subjects: Get full text
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Approximate counting, the Lovasz local lemma, and inference in graphical models
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
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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Exact formulas for the normalizing constants of Wishart distributions for graphical models
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. …”
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95
Approximate Counting, the Lovász Local Lemma, and Inference in Graphical Models
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.…”
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96
Approximate Counting, the Lovász Local Lemma, and Inference in Graphical Models
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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97
Provable Algorithms for Learning and Variational Inference in Undirected Graphical Models
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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Predictive genomics in asthma management using probabilistic graphical models
Published 2008Get full text
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Multiscale Gaussian graphical models and algorithms for large-scale inference
Published 2008Get full text
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100
Guest Editors' Introduction to the Special Section on Probabilistic Graphical Models
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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