Results 21 to 30 of about 8,186,859 (287)
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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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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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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Electronic Journal of Plant Breeding, 2021 An experiment on correlation and path analysis involving thirty F1 and six parents of brinjal (Solanum melongena L.) was carried during rabi, 2018 at Horticultural College and Research Institute, Tamil Nadu Agricultural University, Coimbatore.
D. Rameshkumar1, R. Swarna Priya1*, B. K. Savitha1, R. Ravikesavan2 and N. Muthukrishnan3
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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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Weighted network analysis of high frequency cross-correlation measures [PDF]
, 2006 In this paper we implement a Fourier method to estimate high-frequency correlation matrices from small data sets. The Fourier estimates are shown to be considerably less noisy than the standard Pearson correlation measures and thus capable of detecting ...
Iori, G., Precup, O. V.
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Correlation-Compressed Direct Coupling Analysis
, 2017 Learning Ising or Potts models from data has become an important topic in statistical physics and computational biology, with applications to predictions of structural contacts in proteins and other areas of biological data analysis.
Aurell, Erik +2 more
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A Statistical Procedure for Exploring a Skeletal Age-Explicative Tool for Growing Patients
Applied SciencesBackground: Skeletal age estimation plays a fundamental role in orthopedic treatments. Since the most reliable methods are based on ionizing radiation, this study aimed to use machine learning techniques to explore a skeletal age assessment method not ...
Michele Tepedino +5 more
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Robust Sparse Canonical Correlation Analysis
, 2014 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.
Croux, Christophe, Wilms, Ines
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Exploration and Deconstruction of Correlation Cycles in Multidimensional Datasets
TechnologiesCorrelation analysis is one of the most prolific statistical methods used in data analysis problems, mining of knowledge focused on relationships of attributes in large datasets, and in various predictive tasks utilizing statistical, machine learning ...
Adam Dudáš +2 more
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