Results 41 to 50 of about 170,250 (260)

Variational nonparametric discriminant analysis [PDF]

Computational Statistics & Data Analysis, 2020
Variable selection and classification are common objectives in the analysis of high-dimensional data. Most such methods make distributional assumptions that may not be compatible with the diverse families of distributions data can take. A novel Bayesian nonparametric discriminant analysis model that performs both variable selection and classification ...
Weichang Yu 0001, Lamiae Azizi, John T. Ormerod   +2 more
openaire   +2 more sources

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

Discriminant Analysis of Bronchitis Cancer Data

Journal of Kufa for Mathematics and Computer, 2012
The aim of this research is to predict membership in two mutually exclusive groups of bronchitis cancer patients, and allocating new patients using Discriminant Analysis.
Nazera Khalil Dakhil, Yahya Mahdi Al-mayali, Gahssan Dahair Al-Thabhawee   +2 more
doaj   +1 more source

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

Advanced 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, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

DISCRIMINANT ANALYSIS IN MARKETING RESEARCH [PDF]

Management & Marketing, 2010
This paper classifies among marketing researches aiming to study the influence that the following independent variables (explanatory) have: "Estimating the expenses incurred in Centre Development Region, including country of residence" and the variable ...
Erika KULCSÁR
doaj  

Multi-View Classification via Adaptive Discriminant Analysis

IEEE Access, 2019
In many real applications, an object is usually represented with multiple views, providing compatible and complementary information to each other. Therefore, it is highly desirable to recognize the object from distinct and even heterogeneous views.
Deyan Xie, Qin Li, Wei Xia, Shiwei Pang, Huihui He, Quanxue Gao   +5 more
doaj   +1 more source

Enhancing class discrimination in Kernel Discriminant Analysis [PDF]

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015
In this paper, we propose an optimization scheme aiming at optimal nonlinear data projection, in terms of Fisher ratio maximization. To this end, we formulate an iterative optimization scheme consisting of two processing steps: optimal data projection calculation and optimal class representation determination.
Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas   +2 more
openaire   +3 more sources

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

Advanced 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, Peng Li, Jingsong Yuan, Boyuan Yu, Bin Han, Yusheng Chen, Jiangang Ma, Haiyang Xu, Yichun Liu, Paolo Samorì   +9 more
wiley   +1 more source

Image clustering using exponential discriminant analysis

IET Computer Vision, 2015
Local learning based image clustering models are usually employed to deal with images sampled from the non‐linear manifold. Recently, linear discriminant analysis (LDA) based various clustering models were proposed.
Nasir Ahmed
doaj   +1 more source

Global Subclass Discriminant Analysis

Knowledge-Based Systems, 2023
Linear discriminant analysis (LDA) is a powerful supervised dimensionality reduction method for analysing high-dimensional data. However, LDA cannot use locality information in data, which makes LDA degrade dramatically in performance on multimodal data.
Huan Wan, Hui Wang 0001, Bryan W. Scotney, Jun Liu 0001, Xin Wei 0002   +4 more
openaire   +2 more sources