Results 41 to 50 of about 111,184 (298)

A Doubly Regularized Linear Discriminant Analysis Classifier With Automatic Parameter Selection

IEEE 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, Tarig Ballal, Shahid Khattak, Tareq Y. Al-Naffouri   +3 more
doaj   +1 more source

Linear discriminant analysis. [PDF]

, 2015
In Fig 1, we tested whether differentiating among patients with two neurodegenerative disorders and healthy controls is possible using the eNose. Linear discriminant analysis (LDA) was used to distinguish among groups.
Sasidhar Maddula (671901), Sabina Janciauskiene (264288), Dirk Lubbe (769143), Joan Michelis (769147), Tobias Boeselt (769146), Jürgen Rieke (769144), Jörg Ingo Baumbach (671902), Andreas Rembert Koczulla (340119), Christoph Nell (769145), David Mengel (769142), Severin Schmid (340111), Jan-Philipp Bach (428276), Maike Gold (668992), Björn Tackenberg (385048), Frank Jessen (237369), Judith Alferink (425209), Wolfgang Oertel (8929), Richard Dodel (93833), Akira Hattesohl (340110), Michael Heneka (31082), Claus Vogelmeier (340117)   +20 more
core   +1 more source

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

Annals 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, Chiranth K. Nagaraj, Jackson S. Newell, Kim Truc Nguyen, Xilal Y. Rima, Jacob Doon‐Ralls, Eduardo Reátegui, Jeffrey M. Statland, Rabi Tawil, Kevin M. Flanigan, Scott Q. Harper, Nizar Y. Saad   +11 more
wiley   +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

Annals 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, Damiano Marastoni, Agnese Tamanti, Pietro Biasi, Valentina Visani, Annalisa Colombi, Tom A. Fuchs, Monica Sicchieri, Chiara Eccher, Francesco Guarnaccia, Milena Calderone, Valentina Camera, Francesca Benedetta Pizzini, Roberta Magliozzi, Marco Castellaro, Massimiliano Calabrese   +15 more
wiley   +1 more source

Regularized linear discriminant analysis of EEG features in dementia patients

Frontiers 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, Emanuel Filipe Neto, Felix Bießmann, Harald Aurlien, Helge Nordby, Tom Eichele, Tom Eichele, Tom Eichele   +7 more
doaj   +1 more source

Discriminant analysis involving count data [PDF]

Songklanakarin 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, Chijioke Joel Nweke   +1 more
doaj  

Deep Linear Discriminant Analysis

, 2015
We introduce Deep Linear Discriminant Analysis (DeepLDA) which learns linearly separable latent representations in an end-to-end fashion. Classic LDA extracts features which preserve class separability and is used for dimensionality reduction for many classification problems. The central idea of this paper is to put LDA on top of a deep neural network.
Matthias Dorfer, Rainer Kelz, Gerhard Widmer   +2 more
openaire   +2 more sources

Multidimensional Cellular Micro‐Compartments to Model Invasive Lobular Carcinoma Dormancy

Advanced Healthcare Materials, EarlyView.
Invasive lobular carcinoma (ILC) is an understudied subtype of breast cancer that is susceptible to late recurrences. In this study, micro‐compartmentalization techniques spanning multiple dimensions, including 2D, pseudo‐3D, and 3D, are integrated to uncover the mechanisms underlying ILC dormancy, revealing the central role of p27Kip1.
Xilal Y. Rima, Sarmila Majumder, Divya S. Patel, Chunyu Hu, Hong Li, Xin Huang, Kim Truc Nguyen, Jacob Doon‐Ralls, Chiranth K. Nagaraj, Mangesh D. Hade, Setty M. Magaña, Eswar Shankar, Xiaoli Zhang, Daniel G. Stover, Bhuvaneswari Ramaswamy, Eduardo Reátegui   +15 more
wiley   +1 more source

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

Journal 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

Soft Hardware, Flowing Software: Reconfigurable Microfluidics for Adaptable Chemical Computation

Advanced Materials, EarlyView.
A reconfigurable microfluidic platform based on soft, photo‐printable, and chemically erasable hydrogel structures printed and erased in situ is used to control flow routing, mixing, chemical patterning, and even chemical computing. Using hardware to control chemical computations decouples logic function from molecular composition, demonstrated via ...
Piet J. M. Swinkels, Brigitta Dúzs, Oliver Skarsetz, Kohei Nishiyama, Andreas Walther   +4 more
wiley   +1 more source