Results 101 to 110 of about 1,530,540 (307)
tascCODA: Bayesian Tree-Aggregated Analysis of Compositional Amplicon and Single-Cell Data. [PDF]
Front Genet, 2021 Ostner J, Carcy S, Müller CL.
europepmc +1 more source
VCBART: Bayesian Trees for Varying Coefficients
Bayesian AnalysisThe linear varying coefficient models posits a linear relationship between an outcome and covariates in which the covariate effects are modeled as functions of additional effect modifiers. Despite a long history of study and use in statistics and econometrics, state-of-the-art varying coefficient modeling methods cannot accommodate multivariate effect ...
Deshpande, Sameer K. +4 more
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Rowan Tree Church. Annual Report, Hallows 1983-1984 ce [PDF]
, 1984 The Rowan Tree Church is an earth-based religion founded by Rev. Paul Beyerl, a Third Degree Initiate in the Alexandrian Tradition of Wicca, and incorporated on February 4, 1980 in Minneapolis, Minnesota.
Rowan Tree Church
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IntelLabs/bayesian-torch: Bayesian-Torch 0.4.0
, 2023 <p>New feature: Quantization framework in Bayesian-Torch. Support Post Training Quantization of Bayesian deep neural networks, enables efficient INT8 inference on Intel platforms.</p> What's Changed <ul> <li>Add support for output
Michael Beale +5 more
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Transposable Element–Driven PIEZO Mutation Enhances Locust Flight in Plateau Hypoxia
Advanced Science, EarlyView.Why transposable elements (TEs) persisted or expanded in genomes remains a mystery. Using integrated analysis of TE macro‐ and microevolution in locusts, our results showed that thousands of TE insertions promoted widespread adaptive variation. Subfamilies of candidate adaptive TEs amplified and reshaped species‐level genomic architecture.
Xuanzhao Li +8 more
wiley +1 more source
On Causal Explanations in Bayesian Networks [PDF]
, 2007 Explanations in Bayesian networks are usually probabilistic measures of how well a hypothesis is supported by observations. This observational based approach does not fulfill all the properties one would expect from an explanation. In particular, it does
Nielsen, Ulf Holm
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Advanced Science, EarlyView.Computational simulations of tumor evolution are increasingly used to infer the rules underlying cancer growth, with the goal of one day recommending tailored treatments. Here we show that the properties of lung cancer sequencing data are best replicated by a model which assumes that cells compete both to proliferate and survive. ABSTRACT Computational
Helena Coggan +5 more
wiley +1 more source
Particle Gibbs for Bayesian Additive Regression Trees
CoRR, 2015 Additive regression trees are flexible non-parametric models and popular off-the-shelf tools for real-world non-linear regression. In application domains, such as bioinformatics, where there is also demand for probabilistic predictions with measures of uncertainty, the Bayesian additive regression trees (BART) model, introduced by Chipman et al. (2010),
Lakshminarayanan, B, Roy, DM, Teh, YW
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The Rowan Tree Church 20th Annual Report, Hallows 2001 ce-Hallows 2002 ce. [PDF]
, 2000 This digital asset was created from the original digital scans by Rev. Paul V. Beyerl and provided to the Valdosta State University, Archives & Special Collections to be part of their Rowan Tree Church Periodicals Collection of the New Age Movements ...
Rowan Tree Church
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Advanced Science, EarlyView.This work develops photocatalytic coatings for indoor formaldehyde removal on wood surfaces. It explores coating‐induced color variations and visual perception via eye‐tracking tests. Combined with XGBoost and Bayesian optimization, an intelligent design framework is established to guide the optimization of visually friendly wood photocatalytic ...
Xinyue Wei +8 more
wiley +1 more source