Results 21 to 30 of about 1,105,140 (302)

A Jacobi–Davidson Method for Large Scale Canonical Correlation Analysis

open access: yesAlgorithms, 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
doaj   +1 more source

Ensemble canonical correlation analysis

open access: yesApplied 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
openaire   +2 more sources

A rotation method for computing canonical correlations [PDF]

open access: yes, 1957
RESP ...
Healy, M. J. R., M. J. R. Healy
core   +1 more source

PerseusDL/canonical-greekLit: None

open access: yes, 2021
XML Canonical resources for Greek ...
Jeroen Hellingman   +19 more
core   +3 more sources

Canonical correlations among grapevine agronomic and processing characteristics

open access: yesActa Scientiarum. Agronomy, 2019
Canonical correlation analysis allows conclusions to be drawn about the occurrence and magnitude of associations between two groups of characteristics.
Adeliano Cargnin
doaj   +1 more source

Screening of Popcorn Genotypes for Drought Tolerance Using Canonical Correlations

open access: yesAgronomy, 2020
Getting around the damage caused by drought is a worldwide challenge, particularly in Brazil, given that economy is based on agricultural activities, including popcorn growing.
Samuel Henrique Kamphorst   +11 more
doaj   +1 more source

Stochastic Canonical Correlation Analysis

open access: yesJ. 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
openaire   +5 more sources

Neurons as Canonical Correlation Analyzers [PDF]

open access: yesFrontiers in Computational Neuroscience, 2020
Normative models of neural computation offer simplified yet lucid mathematical descriptions of murky biological phenomena. Previously, online Principal Component Analysis (PCA) was used to model a network of single-compartment neurons accounting for weighted summation of upstream neural activity in the soma and Hebbian/anti-Hebbian synaptic learning ...
Cengiz Pehlevan   +4 more
openaire   +4 more sources

Um modelo estocástico combinado de previsão sazonal para a precipitação no Brasil A combined stochastic model for seasonal prediction of precipitation in Brazil

open access: yesRevista Brasileira de Meteorologia, 2010
Este artigo discute um modelo de previsão combinada para a realização de prognósticos climáticos na escala sazonal. Nele, previsões pontuais de modelos estocásticos são agregadas para obter as melhores projeções no tempo. Utilizam-se modelos estocásticos
Paulo Sérgio Lúcio   +11 more
doaj   +1 more source

PerseusDL/canonical-latinLit: None

open access: yes, 2021
XML Canonical resources for Latin ...
Marius Jøhndal   +19 more
core   +1 more source

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