Results 21 to 30 of about 184,542 (254)
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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Sparse canonical correlation analysis [PDF]
Machine Learning, 2010 We present a novel method for solving Canonical Correlation Analysis (CCA) in a sparse convex framework using a least squares approach. The presented method focuses on the scenario when one is interested in (or limited to) a primal representation for the first view while having a dual representation for the second view.
Hardoon, David R., Shawe-Taylor, John
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Non‐linear canonical correlation† [PDF]
British Journal of Mathematical and Statistical Psychology, 1983 Non‐linear canonical correlation analysis is a method for canonical correlation analysis with optimal scaling features. The method fits many kinds of discrete data. The different parameters are solved for in an alternating least squares way and the corresponding program is called CANALS.
van der Burg, Eeke, de Leeuw, Jan
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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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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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Robust Sparse Canonical Correlation Analysis [PDF]
SSRN Electronic Journal, 2015 Canonical correlation analysis (CCA) is a multivariate statistical method which describes the associations between two sets of variables. The objective is to find linear combinations of the variables in each data set having maximal correlation. This paper discusses a method for Robust Sparse CCA.
Wilms, Ines, Croux, Christophe
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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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Resistant multiple sparse canonical correlation [PDF]
Statistical Applications in Genetics and Molecular Biology, 2016 AbstractCanonical correlation analysis (CCA) is a multivariate technique that takes two datasets and forms the most highly correlated possible pairs of linear combinations between them. Each subsequent pair of linear combinations is orthogonal to the preceding pair, meaning that new information is gleaned from each pair.
Coleman, Jacob +3 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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