Results 31 to 40 of about 425,037 (266)
, 2010 In this tutorial we review the essential arguments behing entropic inference. We focus on the epistemological notion of information and its relation to the Bayesian beliefs of rational agents.
Caticha, Ariel
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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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Generalized Bayesian Inference Nets Model and Diagnosis of Cardiovascular Diseases
Journal of Intelligent Systems, 2011 A generalized Bayesian inference nets model (GBINM) is proposed to aid researchers to construct Bayesian inference nets for various applications. The benefit of such a model is well demonstrated by applying GBINM in constructing a hierarchical Bayesian ...
Sekar Booma Devi +2 more
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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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A Factor Graph Approach to Automated Design of Bayesian Signal Processing Algorithms [PDF]
, 2018 The benefits of automating design cycles for Bayesian inference-based algorithms are becoming increasingly recognized by the machine learning community.
Cox, Marco +2 more
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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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PAC-Bayesian Theory Meets Bayesian Inference [PDF]
, 2016 We exhibit a strong link between frequentist PAC-Bayesian risk bounds and the Bayesian marginal likelihood. That is, for the negative log-likelihood loss function, we show that the minimization of PAC-Bayesian generalization risk bounds maximizes the ...
Bach, Francis +3 more
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Shared Genetic Effects and Antagonistic Pleiotropy Between Multiple Sclerosis and Common Cancers
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Epidemiologic studies have reported inconsistent altered cancer risk in individuals with multiple sclerosis (MS). Factors such as immune dysregulation, comorbidities, and disease‐modifying therapies may contribute to this variability.
Asli Buyukkurt +5 more
wiley +1 more source
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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Arthritis Care &Research, Accepted Article.Objectives This study aimed to investigate hand function trajectories over 5 years in primary hand osteoarthritis. Additionally, determinants of baseline and longitudinal hand function were assessed. Methods 538 patients with both baseline and 5‐year study visits were analyzed.
Annemiek V.E.M. Olde Meule +4 more
wiley +1 more source