Results 11 to 20 of about 341,773 (269)
Machine Learning: Science and Technology, 2023 Abstract In this note we present a fully information theoretic approach to renormalization inspired by Bayesian statistical inference, which we refer to as Bayesian renormalization. The main insight of Bayesian renormalization is that the Fisher metric defines a correlation length that plays the role of an emergent renormalization group (
David S. Berman +2 more
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How Bayesian should Bayesian optimisation be? [PDF]
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2021 Bayesian optimisation (BO) uses probabilistic surrogate models - usually Gaussian processes (GPs) - for the optimisation of expensive black-box functions. At each BO iteration, the GP hyperparameters are fit to previously-evaluated data by maximising the marginal likelihood.
George De Ath +2 more
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Critical Care Explorations, 2021 OBJECTIVES:. To evaluate factors predictive of clinical progression among coronavirus disease 2019 patients following admission, and whether continuous, automated assessments of patient status may contribute to optimal monitoring and management. DESIGN:.
Suchi Saria, PhD +8 more
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Impact of COVID-19 pandemic on African indigenous vegetables value chain in Kenya
Agriculture & Food Security, 2021 Background African indigenous vegetables are important for food security and nutrition, and income of the poor farm households. In the era of COVID-19, they are critical for boosting people’s immunity. Unfortunately, both production of and trade in these
Maurice Juma Ogada +6 more
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Biology Open, 2022 Torpor is a state of controlled reduction of metabolic rate (M) in endotherms. Assigning measurements of M to torpor or euthermy can be challenging, especially when the difference between euthermic M and torpid M is small, in species defending a high ...
Nicolas J. Fasel +2 more
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Bayesian Approach to Linear Bayesian Networks
CoRR, 2023 This study proposes the first Bayesian approach for learning high-dimensional linear Bayesian networks. The proposed approach iteratively estimates each element of the topological ordering from backward and its parent using the inverse of a partial covariance matrix.
Seyong Hwang +3 more
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Genetic evaluation of eggshell color based on additive and dominance models in laying hens [PDF]
Asian-Australasian Journal of Animal Sciences, 2020 Objective Eggshells with a uniform color and intensity are important for egg production because many consumers assess the quality of an egg according to the shell color.
Jun Guo +6 more
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Theoretical Computer Science, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Noga Alon +3 more
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Frontiers in Physiology, 2023 Estimating the potential of alpine skiers is an unresolved question, especially because of the complexity of sports performance. We developed a potential estimation model based solely on the evolution of performance as a function of age. A bayesian mixed
Quentin De Larochelambert +12 more
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