Results 41 to 50 of about 147,580 (306)
The Inverse of Exact Renormalization Group Flows as Statistical Inference
EntropyWe build on the view of the Exact Renormalization Group (ERG) as an instantiation of Optimal Transport described by a functional convection–diffusion equation.
David S. Berman, Marc S. Klinger
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Bayesian surprise shapes neural responses in somatosensory cortical circuits
Cell Reports, 2023 Summary: Numerous psychophysical studies show that Bayesian inference governs sensory decision-making; however, the specific neural circuitry underlying this probabilistic mechanism remains unclear.
Gwendolyn English +4 more
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NeuroImage, 2012 Bayesian inference has taken FMRI methods research into areas that frequentist statistics have struggled to reach. In this article we will consider some of the early forays into Bayes and what motivated its use. We shall see the impact that Bayes has had on haemodynamic modelling, spatial modelling, group analysis, model selection and brain ...
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BMC Public HealthBackground The demographic shift driven by the aging Baby Boomer cohort represents a substantial burden for our healthcare system. The aim of this study is to analyze the basic demographic characteristics, regional disparities, healthcare utilization ...
Andreas Kuehnl +3 more
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Bayesian model-based inference of transcription factor activity [PDF]
, 2007 <b>Background:</b> In many approaches to the inference and modeling of regulatory interactions using microarray data, the expression of the gene coding for the transcription factor is considered to be an accurate surrogate for the true ...
Rogers, S +5 more
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FEBS Open Bio, EarlyView.Evolutionary analysis across 32 placental mammals identified positive selection at residues H148 and W149 in the immune receptor FcγR1. Ancestral reconstruction combined with molecular dynamics simulations reveals how these mutations may influence receptor structure and dynamics, providing insight into the evolution of antibody recognition and immune ...
David A. Young +7 more
wiley +1 more source
A Design Methodology for Fault-Tolerant Neuromorphic Computing Using Bayesian Neural Network
Micromachines, 2023 Memristor crossbar arrays are a promising platform for neuromorphic computing. In practical scenarios, the synapse weights represented by the memristors for the underlying system are subject to process variations, in which the programmed weight when read
Di Gao, Xiaoru Xie, Dongxu Wei
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Bayesian inference for bivariate ranks
CoRR, 2018 A recommender system based on ranks is proposed, where an expert's ranking of a set of objects and a user's ranking of a subset of those objects are combined to make a prediction of the user's ranking of all objects. The rankings are assumed to be induced by latent continuous variables corresponding to the grades assigned by the expert and the user to ...
Guillote, Simon +2 more
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Directed evolution of enzymes at the crossroads of tradition and innovation
FEBS Open Bio, EarlyView.An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
Fuzzy Sets and Systems, 1993 The author applies Zadeh's extension principle to Bayes' theorem for both fuzzy data and fuzzy priors resulting in fuzzyfied versions of some classical tools in Bayesian statistics, like fuzzy posterior densities, fuzzy Bayes estimators, fuzzy predictive densities and fuzzy highest posterior density regions.
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