Results 11 to 20 of about 389,587 (260)
Tutorial on PCA and approximate PCA and approximate kernel PCA
Artificial Intelligence Review, 2022 AbstractPrincipal Component Analysis (PCA) is one of the most widely used data analysis methods in machine learning and AI. This manuscript focuses on the mathematical foundation of classical PCA and its application to a small-sample-size scenario and a large dataset in a high-dimensional space scenario.
Sanparith Marukatat +1 more
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PCA of waveforms and functional PCA: A primer for biomechanics [PDF]
Journal of Biomechanics, 2021 Principal components analysis (PCA) of waveforms and functional PCA (fPCA) are statistical approaches used to explore patterns of variability in biomechanical curve data, with fPCA being an accepted statistical method grounded within the functional data analysis (FDA) statistical framework.
Edward Gunning +2 more
exaly +3 more sources
Singular Learning of Deep Multilayer Perceptrons for EEG-Based Emotion Recognition
Frontiers in Computer Science, 2021 Human emotion recognition is an important issue in human–computer interactions, and electroencephalograph (EEG) has been widely applied to emotion recognition due to its high reliability.
Weili Guo +6 more
doaj +1 more source
Canadian Journal of Statistics, 2023 AbstractMahalanobis distance of covariate means between treatment and control groups is often adopted as a balance criterion when implementing a rerandomization strategy. However, this criterion may not work well for high‐dimensional cases because it balances all orthogonalized covariates equally.
Hengtao Zhang +2 more
openaire +3 more sources
Classification of biochemical and biomechanical data of diabetic rats treated with magnetic field by pca-supported j48 algorithm [PDF]
Kafkas Universitesi Veteriner Fakültesi Dergisi, 2019 The aim of this study was to investigate the J48 mediated decision tree algorithm from the principal component analysis - PCA, which is more complex, one of the statistical algorithms of diabetic metabolic disorders of Wistar albino rats" biochemical ...
Aykut PELİT +3 more
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A pilot study of the paraoxonase-1 (Q192 R) gene polymorphism association with prostate cancer in the Egyptian population [PDF]
Journal of Bioscience and Applied Research, 2020 Background and Objectives: Prostate cancer (PCa) is one of the most common cancer types in men and recognized as the fifth cause of death globally. Human paraoxanase-1 (PON1) is an enzyme synthesized in the liver and linked with high-density lipoprotein (
Hany Abd Al Hamid +4 more
doaj +1 more source
Bulletin of Geography. Socio-Economic Series, 2021 The purpose of the work was to identify the hidden relationship between water consumption and meteorological factors, using principal component analysis.
Piasecki Adam +2 more
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Experimental investigation of 50 MPa reinforced concrete slabs subjected to blast loading
Ingeniería e Investigación, 2018 This paper presents results from blast tests conducted on four 50 MPa concrete slabs with reinforcement ratios of 0,175% and 0,37%. Two of the slabs were retrofitted with 50 mm thick foam in order to investigate the potential of using the foam as a ...
Fausto Mendonça +2 more
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Classification of α wave motor imagery based on SVM and PCA
Dianzi Jishu Yingyong, 2022 A feature screening method based on alpha wave and principal component analysis was proposed to solve the problem that the weakly correlated feature quantity would affect the classification accuracy in EEG motor imagery classification.
Cai Jing +3 more
doaj +1 more source
Application of Minimal Data Sets for Quantitative Assessment and Investigation of Spatial Autocorrelation of Soil Quality in Southwestern Lands of Urmia Plain [PDF]
علوم آب و خاک, 2023 Soil quality is one of the most crucial factors determining crop productivity and production stability. The soil's physical, chemical, biological, and ecological characteristics affect its quality. Numerous researchers have concentrated the evaluation on
A. Barikloo +3 more
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