Results 41 to 50 of about 1,506,457 (286)

A Doubly Regularized Linear Discriminant Analysis Classifier With Automatic Parameter Selection

open access: yesIEEE Access, 2021
Linear discriminant analysis (LDA) based classifiers tend to falter in many practical settings where the training data size is smaller than, or comparable to, the number of features.
Alam Zaib   +3 more
doaj   +1 more source

Evaluating the effect of γ‐oryzanol on MASLD pathology using a medaka fish model

open access: yesFEBS Open Bio, EarlyView.
This study explores a liver disease called MASLD, which is increasing worldwide and can lead to serious damage. Researchers used medaka fish instead of rodents to test a food compound, γ‐oryzanol. Fish fed this compound had less liver fat and healthier gut bacteria.
Yukako Ito   +7 more
wiley   +1 more source

Plasma EV Proteomics Identifies ECM Remodeling and Inflammatory Proteins LUM and C7 as Candidate Biomarkers in FSHD

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit   +11 more
wiley   +1 more source

Regularized linear discriminant analysis of EEG features in dementia patients

open access: yesFrontiers in Aging Neuroscience, 2016
The present study explores if EEG spectral parameters can discriminate between healthy elderly controls (HC), Alzheimer’s disease (AD) and vascular dementia (VaD) using.
Emanuel Filipe Neto   +7 more
doaj   +1 more source

Discriminant analysis involving count data [PDF]

open access: yesSongklanakarin Journal of Science and Technology (SJST), 2023
A situation giving rise to a violation of the normality assumption in discriminant analysis is that which involves count observations. For a two-variable case involving count observations, this paper presents a new discriminant analysis approach when ...
George Chinanu Mbaeyi   +1 more
doaj  

High dimensional linear discriminant analysis: optimality, adaptive algorithm and missing data [PDF]

open access: yesJournal of The Royal Statistical Society Series B-statistical Methodology, 2018
The paper develops optimality theory for linear discriminant analysis in the high dimensional setting. A data‐driven and tuning‐free classification rule, which is based on an adaptive constrained l1‐minimization approach, is proposed and analysed ...
T. Tony Cai, Linjun Zhang
semanticscholar   +1 more source

Paramagnetic Rim Lesions and Choroid Plexus Volume at Diagnosis Are Associated With Cognitive Progression Independent of Relapse and MRI Activity in Early Relapsing–Remitting Multiple Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Paramagnetic rim lesions (PRLs) and choroid plexus (CP) enlargement reflect smoldering inflammation in multiple sclerosis. Their role in cognitive progression remains unexplored. Eighty‐seven early relapsing–remitting MS patients were enrolled at diagnosis and followed longitudinally.
Stefano Ziccardi   +15 more
wiley   +1 more source

Regularized linear discriminant analysis via a new difference-of-convex algorithm with extrapolation

open access: yesJournal of Inequalities and Applications, 2023
In this paper, we transform the classical linear discriminant analysis (LDA) into a smooth difference-of-convex optimization problem. Then, a new difference-of-convex algorithm with extrapolation is introduced and the convergence of the algorithm is ...
Chunyan Wang, Wenjie Wang, Mengzhen Li
doaj   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

open access: yesAdvanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei   +9 more
wiley   +1 more source

Metal Oxide Nano‐Interface Boosting the Deep Ultraviolet Adjustable Noise‐Filtering In‐Sensor Computing

open access: yesAdvanced Materials, EarlyView.
We show that sol‐gel‐fractured indium–magnesium oxide combines deep‐ultraviolet responsivity, high carrier mobility, and an excellent memory dynamic range. This unique materials platform enables deep‐ultraviolet long‐afterglow light‐emitting devices with multifunctional integration.
Zhongshi Ju   +9 more
wiley   +1 more source

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