Results 141 to 150 of about 1,076,501 (310)
Rethinking Attention Weights as Bidirectional Coefficients
Attention mechanism has become an almost ubiquitous model architecture in deep learning. One of its distinctive features is to compute non-negative probabilistic distribution to re-weight input representations. This work reconsiders attention weights as bidirectional coefficients instead of probabilistic measures for potential benefits in ...
Yuxiang Huang +2 more
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ABSTRACT Objective To evaluate the expression of nine blood RNA biomarkers in a clinical trial based on genes previously identified in an experimental monkey model of stroke for diagnosis feasibility and prognostication. Methods IBIS‐CT1 was a prospective longitudinal study enrolling patients with ischemic stroke (IS) or intracerebral hemorrhage (ICH ...
Salomé Retailleau +11 more
wiley +1 more source
Abscissas and weight coefficients for Lobatto quadrature [PDF]
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Optimal calibration in immunoassay and inference on the coefficient of variation [PDF]
This thesis examines and develops statistical methods for design and analysis with applications in immunoassay and other analytical techniques. In immunoassay, concentrations of components in clinical samples are measured using antibodies.
Forkman, Johannes
core
ABSTRACT Objective To determine whether myelin‐sensitive quantitative MRI reveals microstructural abnormalities in normal‐appearing cortex (NACtx) in myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD), indicating that conventional MRI underestimates remission residual cortical injury.
Valentina Camera +20 more
wiley +1 more source
A robust coefficient of determination based on implicit weighting
In the linear regression model, the standard coefficient of determination $R^2$ and its weighted counterpart are commonly used to assess the quality of the linear fit. However, both metrics are susceptible to the influence of outliers and heteroskedasticity within the dataset. This paper introduces a robust version of $R^2$, based on the least weighted
openaire +2 more sources
The Gini coefficient has proved valuable as a measure of income inequality. In cross-sectional studies of the Gini coefficient, information about the accuracy of its estimate is crucial.
Berger, Yves G.
core
Natural Frequencies of Levodopa‐Induced Dyskinesia in Parkinson's Disease
ABSTRACT Objectives Abnormal involuntary movements, known as dyskinesias, are common complications of levodopa treatment in patients with Parkinson's disease and can significantly impair quality of life. The underlying pathophysiology remains unclear, and current therapeutic options are limited.
Ioannis U. Isaias +3 more
wiley +1 more source
In Fisher optimal segmentation method,multi-index weighting only considers a single objective weighting method.To overcome the shortcoming,this paper introduces the entropy weight method based on information theory,the coefficient of variation method ...
XIA Qingqing +4 more
doaj
Modelling Replacement Demand: A Random Coefficient Approach [PDF]
Replacement demand due to regular and early retirement, disablement, temporary withdrawals of women owing to birth and child raising, et cetera, constitutes an important element of the future demand for newcomers on the labour market.
Willems,E
core

