Results 101 to 110 of about 2,095,528 (293)

hsbadr/bayesian: bayesian 0.0.2

open access: yes, 2021
Bindings for Bayesian ...
Hamada S. Badr
core   +1 more source

Harnessing Large‐Scale Multi‐Omics Data for Risk Prediction and Deep Phenotyping of Valvular Heart Diseases in the General Population

open access: yesAdvanced Science, EarlyView.
Large‐scale UK Biobank analyses identify clinical and proteomic signatures for early prediction of valvular heart disease and its subtypes. Proteins add predictive value for VHD, AVS, and MVR, with outcome‐specific compact panels showing translational potential. Multi‐layer evidence highlights matrix remodeling, protease regulation, immune inflammation,
Zhihao Jiang   +10 more
wiley   +1 more source

Bayesian generalized method of moments [PDF]

open access: yes, 2009
We propose the Bayesian generalized method of moments (GMM), which is particularly useful when likelihood-based methods are di±cult. By de-riving the moments and concatenating them together, we build up a weighted quadratic objective function in the GMM ...
Yin, G
core   +1 more source

Multiscale Circuit Architecture Associated With Memory Dysfunction in Temporal Lobe Epilepsy

open access: yesAdvanced Science, EarlyView.
A multiscale precision‐mapping framework reveals that memory impairment in temporal lobe epilepsy arises from the convergence of focal medial temporal pathology, strategic white matter disconnection, and limbic‐centered metabolic network dysfunction.
Jiajie Mo   +12 more
wiley   +1 more source

Model averaging, optimal inference and habit formation

open access: yesFrontiers in Human Neuroscience, 2014
Postulating that the brain performs approximate Bayesian inference generates principled and empirically testable models of neuronal function – the subject of much current interest in neuroscience and related disciplines.
Thomas H B FitzGerald   +2 more
doaj   +1 more source

Bayesian exponential random graph modeling of whole-brain structural networks across lifespan [PDF]

open access: yes, 2016
Descriptive neural network analyses have provided important insights into the organization of structural and functional networks in the human brain. However, these analyses have limitations for inter-subject or between-group comparisons in which network ...
Dijkhuizen, Rick M   +9 more
core   +2 more sources

StackingNet: Collective Inference Across Independent AI Foundation Models

open access: yesAdvanced Science, EarlyView.
ABSTRACT Artificial intelligence (AI) built on large foundation models has transformed language understanding, computer vision, and reasoning, yet these systems remain isolated and cannot readily share their capabilities. Coordinating the complementary strengths of independently developed, black‐box foundation models is essential for trustworthy ...
Siyang Li   +4 more
wiley   +1 more source

Recurrent network for multisensory integration-Identification of common sources of audiovisual stimuli-

open access: yesFrontiers in Computational Neuroscience, 2013
We perceive our surrounding environment by using different sense organs. However, it is notclear how the brain estimate information from our surroundings from the multisensory stimuli itreceives.
Itsuki eYamashita   +10 more
doaj   +1 more source

Pheochromocytoma with Brain Metastasis: A Extremely Rare Case in Worldwide. [PDF]

open access: yes, 2018
Pheochromocytoma (PCC) is a neuroendocrine tumor that mainly arises from the medulla of the adrenal gland. Some PCCs become malignant and metastasize to other organs.
조윤성, 김세훈, 강석구
core   +1 more source

Home - About - Disclaimer - Privacy