Results 21 to 30 of about 4,050,889 (308)
Incremental Canonical Correlation Analysis
Applied Sciences, 2020 Canonical correlation analysis (CCA) is a kind of a simple yet effective multiview feature learning technique. In general, it learns separate subspaces for two views by maximizing their correlations.
Hongmin Zhao, Dongting Sun, Zhigang Luo
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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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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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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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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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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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Discovering Potential Correlations via Hypercontractivity
Entropy, 2017 Discovering a correlation from one variable to another variable is of fundamental scientific and practical interest. While existing correlation measures are suitable for discovering average correlation, they fail to discover hidden or potential ...
Hyeji Kim +4 more
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Nature CommunicationsEnvironmental pollutants from different chemical families may reach the gut microbiome, where they can be metabolized and transformed. However, how our gut symbionts respond to the exposure to environmental pollution is still underexplored.
Francesca De Filippis +11 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Children with acute lymphoblastic leukemia (ALL) are at risk of severe outcomes from SARS‐CoV‐2 (SCV2). In the post‐pandemic context, where most children have been infected with SCV2, there are limited data on whether vaccination remains beneficial in children with ALL.
Janna R. Shapiro +11 more
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