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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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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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Determinant indicators for labor market efficiency and higher education and training: evidence from Middle East and North Africa countries [PDF]
Problems and Perspectives in Management, 2020 This study aims to explore the determinant indicators for the labor market efficiency and the higher education and training factors that can help in increasing the productivity in labor market and the quality in higher education and training, as well as ...
Elsayed A. H. Elamir
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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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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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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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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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Genetics and Molecular Biology, 2011 The association between carcass and ham traits in a pig population used to produce dry-cured ham was studied using canonical correlation analysis. The carcass traits examined were hot carcass weight (HCW), backfat thickness (BT) and loin depth (LD), and ...
Henrique T. Ventura +5 more
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Fair Canonical Correlation Analysis
Advances in Neural Information Processing Systems 36, 2023 Accepted for publication at NeurIPS 2023, 31 Pages, 14 ...
Zhuoping Zhou +7 more
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