Results 31 to 40 of about 282,422 (272)
Applied SciencesColorectal cancer is one of the most commonly diagnosed cancers in developed countries. Although the gold-standard diagnosis technique is the histological analysis of colon biopsies, it is important to investigate different diagnostic tools because the ...
Maria Lasalvia +2 more
doaj +1 more source
Sensible functional linear discriminant analysis [PDF]
Computational Statistics & Data Analysis, 2018 The focus of this paper is to extend Fisher's linear discriminant analysis (LDA) to both densely re-corded functional data and sparsely observed longitudinal data for general $c$-category classification problems. We propose an efficient approach to identify the optimal LDA projections in addition to managing the noninvertibility issue of the covariance
Lu-Hung Chen, Ci-Ren Jiang
openaire +2 more sources
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 +11 more
wiley +1 more source
OFFLINE LINEAR DISCRIMINANT ANALYSIS CLASSFICATION OF TWO CLASS EEG SIGNALS
Iraqi Journal of Information & Communication Technology, 2019 This paper investigates the use of LDA algorithm In the EEG classification. EEG feature extraction is Implemented to reduce the dimensionality of data. The Sliding Window Technique (SWT) is used to calculate the mean within each window samples.
Haider A. Abdulkareem +1 more
doaj +1 more source
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 +3 more
doaj +1 more source
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 +15 more
wiley +1 more source
, 2020 Please download the sample Excel files from https://github.com/hhohho/Learn-Data-Mining-through-Excel for this chapter’s exercises.
Candace Moore, Daniel Bell
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Linear discriminant analysis and principal component analysis to predict coronary artery disease
Health Informatics Journal, 2020 Coronary artery disease is one of the most prevalent chronic pathologies in the modern world, leading to the deaths of thousands of people, both in the United States and in Europe.
Carlo Ricciardi +8 more
doaj +1 more source
Quantum Discriminant Analysis for Dimensionality Reduction and Classification
, 2016 We present quantum algorithms to efficiently perform discriminant analysis for dimensionality reduction and classification over an exponentially large input data set.
Cong, Iris, Duan, Luming
core +1 more source
Weighted LDA techniques for I-vector based speaker verification [PDF]
, 2012 This paper introduces the Weighted Linear Discriminant Analysis (WLDA) technique, based upon the weighted pairwise Fisher criterion, for the purposes of improving i-vector speaker verification in the presence of high intersession variability.
Dean, David +5 more
core +3 more sources