Results 91 to 100 of about 24,268,118 (293)

Dimension Reduction in Nonparametric Discriminant Analysis [PDF]

open access: yes
A dimension reduction method in kernel discriminant analysis is presented, based on the concept of dimension reduction subspace. Examples of application are discussed.
Santiago Velilla, Adolfo Hernández
core  

Enteric ChAT‐Expressing Neurons Mediate the Protective Effect of Lactobacillus plantarum in Inflammatory Bowel Disease

open access: yesAdvanced Science, EarlyView.
In colitis patients and mice, reduced Lactobacillus abundance is observed. Experimental studies show that L. plantarum A736 metabolizes dietary tryptophan into indole‐3‐lactic acid (ILA), while both L. plantarum A736 and ILA impact ChAT‐expressing enteric neurons and acetylcholine levels, thereby regulating intestinal immune responses and alleviating ...
Bing Xia   +15 more
wiley   +1 more source

LINEAR DISCRIMINANT RULES for HIGH-DIMENSIONAL CORRELATED DATA: ASYMPTOTIC and FINITE SAMPLE RESULTS [PDF]

open access: yes
A new class of linear discrimination rules, designed for problems with many correlated variables, is proposed. This proposal tries to incorporate the most important patterns revealed by the empirical correlations and accurately approximate the optimal ...
Pedro Duarte Silva
core  

Grtp1 Safeguards Against Paternal Reproductive Aging and Intergenerational Behavioral Deficits by Preserving Redox Homeostasis

open access: yesAdvanced Science, EarlyView.
This study identifies that Grtp1 maintains germline redox homeostasis by interacting with PRDX1/4‐TXN to antagonize paternal reproductive aging. Growth hormone restores Grtp1 expression, rectifies aberrant sperm DNA methylation, and ameliorates intergenerational anxiety and social deficits, highlighting the GH‐GRTP1 axis as a promising intervention ...
Yingdong Liu   +23 more
wiley   +1 more source

Multigroup Discriminant Analysis Using Linear Programming [PDF]

open access: yes, 1997
In this paper we introduce a non-parametric linear programming formulation for the general multigroup classification problem. Previous research using linear programming formulations has either been limited to the two-group case, or required complicated ...
Gochet, W.   +3 more
core   +1 more source

Resolving the effect of wrist position on myoelectric pattern recognition control

open access: yesJournal of NeuroEngineering and Rehabilitation, 2017
Background The use of pattern recognition-based methods to control myoelectric upper-limb prostheses has been well studied in individuals with high-level amputations but few studies have demonstrated that it is suitable for partial-hand amputees, who ...
Adenike A. Adewuyi   +2 more
doaj   +1 more source

DIMENSION REDUCTION TRANSFORMATIONS IN DISCRIMINANT ANALYSIS [PDF]

open access: yes
Dimension reduction transformations in discriminant analysis are introduced. Their properties, as well as sufficient conditions for their characterization, are studied.
Santiago Velilla, Adolfo Hernández
core  

Oligosaccharides With Defined Glycosidic Bonds Shape Gut Microbial Succession and Metabolism Via Bond‐Specific Microbial Responders

open access: yesAdvanced Science, EarlyView.
Oligosaccharides with defined glycosidic bonds drive divergent gut microbial succession and shape unique metabolic profiles. Absolute time‐series profiling with Bayesian generalized Lotka–Volterra modeling identifies bond‐specific microbial responders, while monoculture validation and metaproteomics reveal linkage‐matched transport and cleavage modules.
Xiaoxuan Lu   +10 more
wiley   +1 more source

Discriminant analysis of multivariate time series using wavelets [PDF]

open access: yes
In analyzing ECG data, the main aim is to differentiate between the signal patterns of those of healthy subjects and those of individuals with specific heart conditions.
M. Andrés Alonso, Ann Elizabeth Maharaj
core  

Penalized Linear Discriminant Analysis of Hyperspectral Imagery for Noise Removal

open access: yes, 2017
The existence of noise in hyperspectral imagery (HSI) seriously affects image quality. Noise removal is one of the most important and challenging tasks to complete before hyperspectral information extraction.
Lu, Xiaoqiang   +13 more
core   +1 more source

Home - About - Disclaimer - Privacy