Results 51 to 60 of about 862,083 (298)
Generalized Bayesian Inference Nets Model and Diagnosis of Cardiovascular Diseases
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
doaj +1 more source
Background 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
doaj +1 more source
Bayesian surprise shapes neural responses in somatosensory cortical circuits
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
doaj +1 more source
Reconstructing enzyme evolution by protein engineering
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler +2 more
wiley +1 more source
Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley +1 more source
Exact probabilistic inference in Bayesian Networks (BNs) becomes increasingly expensive as network size and structural complexity grow, limiting its applicability in time-sensitive decision-support systems.
Efraín Evaristo Díaz Macías +2 more
doaj +1 more source
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.
openaire +4 more sources
Confirmation in the Cognitive Sciences: The Problematic Case of Bayesian Models [PDF]
Bayesian models of human learning are becoming increasingly popular in cognitive science. We argue that their purported confirmation largely relies on a methodology that depends on premises that are inconsistent with the claim that people are Bayesian ...
Danks, David +3 more
core +1 more source
Tumour heterogeneity and clonal evolution of metastatic salivary gland cancer were evaluated in two patients with adenoid carcinoma and one patient with myoepithelial carcinoma. Radiology‐guided autopsy enabled multi‐region sampling (total samples n = 149), followed by whole‐genome sequencing and phylogenetic reconstruction (17 tumour samples, 4–7 per ...
Gerben Lassche +10 more
wiley +1 more source
A Design Methodology for Fault-Tolerant Neuromorphic Computing Using Bayesian Neural Network
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
doaj +1 more source

