Results 11 to 20 of about 3,323,387 (259)
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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Frontiers in Immunology, 2022 BackgroundObservational and in-vivo research suggested a bidirectional relationship between depression and periodontitis. We estimated the genetic correlation and examined directionality of causation.MethodsThe study used summary statistics from ...
Michael Nolde +7 more
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Influence of the vegetation period on the spread of economically important viral diseases in Burley tobacco [PDF]
Trakia Journal of Sciences, 2019 The present study explores the influence of the vegetation period of Burley tobacco on the spread of viruses such as TMW, PVY-Complex, CMV / PVY-Complex, TSWV and CMV.
Y. Yonchev, N. Keranova
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Mìžnarodnij Endokrinologìčnij Žurnal, 2023 Background. The research deals with the provision of calcium, magnesium and zinc in patients with type 2 diabetes mellitus (T2DM). The purpose was to investigate the serum content of calcium, magnesium and zinc in patients with type 2 DM.
V.І. Kravchenko +6 more
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Correlation and Path Coefficient Analysis in Indian Oil Palm genotypes
Journal of Pure and Applied Microbiology, 2018 Oil palm Elaeis guineensis Jacq is the highest oil-yielding perennial plant. In this paper, Genotypic and phenotypic correlation coefficients and path analysis study was discussed conducted on 58 Indian Oil palm genotypes for twenty four characters ...
P. Balakrishna +3 more
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Sanamed, 2018 Introduction: One of the significant functional disorders of the central nervous system in patients with schizophrenia is the increased activity of the mesolimbic dopaminergic system.
Stojanovic Zlatan +2 more
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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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Pharmacogenic and neurologic components of residual condition in schizophrenia
Zaporožskij Medicinskij Žurnal, 2022 Aim. To systematize neuroleptic-induced and neurologic components of residual condition in schizophrenia. Materials and methods. 100 patients of Communal Non-Profit Enterprise “Regional Clinical Institution for the Provision of Psychiatric Care” of ...
V. V. Chuhunov +2 more
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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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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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