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Bayesian Additive Regression Tree (BART) is a sum-of-trees model used to approximate classification or regression cases. The main idea of this method is to use a prior distribution to keep the tree size small and a likelihood from data to get the ...
Stevanny Budiana +2 more
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Enhanced machine learning tree classifiers for lithology identification using Bayesian optimization
Lithology identification is a fundamental activity in oil and gas exploration. The application of artificial intelligence (AI) is currently being adopted as a state-of-the-art means of automating lithology identification.
Solomon Asante-Okyere +2 more
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Students' learning style detection using tree augmented naive Bayes [PDF]
Students are characterized according to their own distinct learning styles. Discovering students' learning style is significant in the educational system in order to provide adaptivity.
Ling Xiao Li, Siti Soraya Abdul Rahman
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In this study, the complete mitogenome of a new species, Johnius taiwanensis (Chao et al. ) was obtained. Its mitogenome is 18,451 bp in length, consisting of 37 genes with the typical gene order and direction of transcription in vertebrates.
Bai-an Lin +4 more
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Different Visualizations Cause Different Strategies When Dealing With Bayesian Situations
People often struggle with Bayesian reasoning. However, previous research showed that people’s performance (and rationality) can be supported by the way the statistical information is represented.
Andreas Eichler +2 more
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An Explainable Bayesian Decision Tree Algorithm
Bayesian Decision Trees provide a probabilistic framework that reduces the instability of Decision Trees while maintaining their explainability. While Markov Chain Monte Carlo methods are typically used to construct Bayesian Decision Trees, here we ...
Giuseppe Nuti +2 more
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Introduction: Salivirus (SalV) represents an emerging problem in public health especially during the recent years. In this study, the Bayesian evolutionary history and the spread of the virus through the different countries have been reported ...
Silvia Angeletti +10 more
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A Tutorial on Fire Domino Effect Modeling Using Bayesian Networks
High complexity and growing interdependencies of chemical and process facilities have made them increasingly vulnerable to domino effects. Domino effects, particularly fire dominoes, are spatial-temporal phenomena where not only the location of involved ...
Nima Khakzad
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In this study, the complete mitogenome of the Caroun croaker Johnius carouna was obtained. Its mitogenome is 18,752 bp in length, consisting of 37 genes with the typical gene order and direction of transcription in vertebrates.
Wei-Di Yang +3 more
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The bayesvl package: An R package for implementing and visualizing Bayesian statistics
The bayesvl R package implements Bayesian analysis using the Stan’s no-U-turn sampler (NUTS). Two distinguished functions that the bayesvl package complements to other developed packages and software performing Bayesian analysis are the “relationship ...
Viet-Phuong La +5 more
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