Results 21 to 30 of about 204,625 (300)
Process Monitoring Using Canonical Correlation Analysis
JISR on Computing, 2019 Principal component analysis (PCA) and partial least square (PLS) used for fault diagnosis and process monitoring for systems. It is expected that the information to be examined isn't self-connected.
Yin SHEN +4 more
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The canonical correlation between online self-regulation collectivity and secondary school student's cognitive flexibility components in virtual training circulation in coronavirus prevalence [PDF]
Fanāvarī-i āmūzish, 2022 Background and Objectives: Canonical correlation deals with two series of variables, each of which can be given a theoretical meaning. The purpose of this study was Canonical analysis of online self-regulatory collectivity (online interaction) and ...
N. Khatib Zanjani +2 more
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Kernel functional canonical correlation analysis
Acta Universitatis Lodziensis. Folia Oeconomica, 2016 Canonical correlation methods for data representing functions or curves have received much attention in recent years. Such data, known in the literature as functional data (Ramsay and Silverman, 2005), has been the subject of much recent research ...
Mirosław Krzyśko, Łukasz Waszak
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Stochastic Canonical Correlation Analysis
J. Mach. Learn. Res., 2017 We study the sample complexity of canonical correlation analysis (CCA), \ie, the number of samples needed to estimate the population canonical correlation and directions up to arbitrarily small error. With mild assumptions on the data distribution, we show that in order to achieve $ε$-suboptimality in a properly defined measure of alignment between the
Chao Gao +4 more
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A Jacobi–Davidson Method for Large Scale Canonical Correlation Analysis
Algorithms, 2020 In the large scale canonical correlation analysis arising from multi-view learning applications, one needs to compute canonical weight vectors corresponding to a few of largest canonical correlations.
Zhongming Teng, Xiaowei Zhang
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Ensemble canonical correlation analysis
Applied Intelligence, 2013 Canonical Correlation Analysis (CCA) aims at identifying linear dependencies between two different but related multivariate views of the same underlying semantics. Ignoring its various extensions to more than two views, CCA uses these two views as complex labels to guide the search of maximally correlated projection vectors (covariates). Therefore, CCA
Cemal Okan Sakar +2 more
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The relationship between teachers' attitudes towards distance education and their digital literacy levels [PDF]
Journal of Pedagogical Research, 2023 The purpose of this study was to examine the relationship between teachers' attitudes towards distance education and their digital literacy levels. Teachers' attitudes towards distance education and digital literacy levels were determined using a survey ...
Selda Uzun +3 more
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Non-Linear Canonical Correlation Analysis Using Alpha-Beta Divergence
Entropy, 2013 We propose a generalized method of the canonical correlation analysis using Alpha-Beta divergence, called AB-canonical analysis (ABCA). From observations of two random variables, x ∈ RP and y ∈ RQ, ABCA finds directions, wx ∈ RP and wy ∈ RQ, such that ...
Andrzej Cichocki, Abhijit Mandal
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ANALYSIS OF STUDENT PERFORMANCE BASED ON CANONICAL CORRELATION ANALYSIS
Компютерні системи та інформаційні технологіїThe article examines the application of Canonical Correlation Analysis (CCA) to investigate the relationships between student performance outcomes across different groups of disciplines.
Катерина БЕРЕЗЬКА +3 more
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Canonical correlation analysis for gene-based pleiotropy discovery.
PLoS Computational Biology, 2014 Genome-wide association studies have identified a wealth of genetic variants involved in complex traits and multifactorial diseases. There is now considerable interest in testing variants for association with multiple phenotypes (pleiotropy) and for ...
Jose A Seoane +4 more
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