Results 51 to 60 of about 862,083 (298)

Generalized Bayesian Inference Nets Model and Diagnosis of Cardiovascular Diseases

open access: yesJournal 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
doaj   +1 more source

Baby Boomers in Germany: a secondary data analysis of demographics, regional disparities, healthcare utilization, and mortality

open access: yesBMC Public Health
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

open access: yesCell 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
doaj   +1 more source

Reconstructing enzyme evolution by protein engineering

open access: yesFEBS Letters, EarlyView.
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 profiling: Technologies, computation, and applications in precision oncology

open access: yesMolecular Oncology, EarlyView.
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

Integrating Boolean Satisfiability Algorithms into Bayesian Networks for Accelerated Deterministic Inference

open access: yesAlgorithms
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

On fuzzy Bayesian inference

open access: yesFuzzy 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.
openaire   +4 more sources

Confirmation in the Cognitive Sciences: The Problematic Case of Bayesian Models [PDF]

open access: yes, 2011
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

Intrapatient tumour heterogeneity and clonal evolution in an autopsy study of metastatic salivary gland cancer

open access: yesMolecular Oncology, EarlyView.
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

open access: yesMicromachines, 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
doaj   +1 more source

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