Results 81 to 90 of about 125,587 (258)
RESUMEN: En este trabajo, se propone una metodología para la selección automática de los parámetros libres de la técnica de regresión basada en mínimos cuadrados máquinas de vectores de soporte (LS-SVM), a partir de un análisis de validación cruzada ...
ANDRÉS M. ÁLVAREZ MEZA +3 more
doaj
Epigenetic reprogramming in hematopoietic stem and progenitor cells (HSPCs) and downstream myeloid cells, mediated by H3.3 downregulation and endogenous retroelement (ERE) overexpression, contributes to the progression of multiple sclerosis (MS). ABSTRACT Background Skewed myelopoiesis in the bone marrow has been identified as a key driver of multiple ...
Li‐Mei Xiao +6 more
wiley +1 more source
Regression analysis aims to determine the relationship between response variables and predictor variables. There are three approaches to estimate regression curves, there are parametric, nonparametric, and semiparametric regression.
Tony Yulianto +6 more
doaj
ABSTRACT Objectives Retrograde trans‐synaptic degeneration (rTSD) from posterior visual pathway lesions in multiple sclerosis (MS) is characterized by hemi‐macular ganglion cell‐inner plexiform layer (GCIPL) thinning and contralateral visual field loss.
Abdul Jaber Tayem +17 more
wiley +1 more source
Deep Learning architecture on breast cancer is usually constructed in a particular imaging type, which restricts their application use in different workflows of diagnostics.
Lakshya Arora +5 more
doaj +1 more source
Robust generalized cross-validation for choosing the regularization parameter [PDF]
Let fλ be the regularized solution for the problem of estimating a function or vector f0 from noisy data yi ≤ Lif0 + ei, i ≤ 1, ..., n, where Li are linear functionals. A prominent method for the selection of the crucial regularization parameter λ is generalized cross-validation (GCV). It is known that GCV has good asymptotic properties as n → ∞ but it
openaire +1 more source
ABSTRACT Objective To explore how cerebral hypoxia and Normal‐Appearing White Matter (NAWM) integrity affect MS lesion burden and clinical course. Methods Seventy‐nine MS patients, including 13 clinically isolated syndrome (CIS) patients and 66 relapsing–remitting multiple sclerosis (RRMS) patients, and 44 healthy controls (HCs) were recruited from ...
Xinli Wang +8 more
wiley +1 more source
Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS
ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi +8 more
wiley +1 more source
A Generalized and Robust Nonlinear Approach based on Machine Learning for Intrusion Detection
Intrusion detection systems (IDS) play a critical role in ensuring the security and integrity of computer networks. There is a constant demand for the development of powerful, novel, and generalized methods for IDS that can accurately detect and classify
Jakiur Rahman +12 more
doaj +1 more source
We propose a new meshless method to solve a backward inverse heat conduction problem. The numerical scheme, based on the fundamental solution of the heat equation and radial basis functions (RBFs), is used to obtain a numerical solution.
Muhammad Arghand, Majid Amirfakhrian
doaj +1 more source

