Results 11 to 20 of about 2,820,919 (248)
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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Permutation inference for canonical correlation analysis
NeuroImage, 2020 Canonical correlation analysis (CCA) has become a key tool for population neuroimaging, allowing investigation of associations between many imaging and non-imaging measurements.
Anderson M. Winkler +3 more
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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.
David R. Hardoon, John Shawe-Taylor
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Canonical Correlation between Fathering and Emotional Autonomy [PDF]
Faṣlnāmah-i Farhang Mushavirah va Ravān/Darmānī, 2015 از سال 1986 که استینبرگ و سیلوربرگ برای اولینبار اصطلاح استقلال عاطفی را برای جدایی عاطفی نوجوان از والدینشان به کار بردند؛ در رابطه با عوامل تأثیرگذار بر آن، پژوهشهای زیادی صورت گرفت.
asieh omidvar tehrani +1 more
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Nonlinear Canonical Correlation Analysis:A Compressed Representation Approach
Entropy, 2020 Canonical Correlation Analysis (CCA) is a linear representation learning method that seeks maximally correlated variables in multi-view data. Nonlinear CCA extends this notion to a broader family of transformations, which are more powerful in many real ...
Amichai Painsky +2 more
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CoRR, 2015 We introduce canonical correlation forests (CCFs), a new decision tree ensemble method for classification and regression. Individual canonical correlation trees are binary decision trees with hyperplane splits based on local canonical correlation coefficients calculated during training.
Tom Rainforth, Frank D. Wood
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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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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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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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Bi-directional gene set enrichment and canonical correlation analysis identify key diet-sensitive pathways and biomarkers of metabolic syndrome. [PDF]
, 2010 peer-reviewedBackground Currently, a number of bioinformatics methods are available to generate appropriate lists of genes from a microarray experiment.
Morine Melissa J +23 more
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