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Functional connectivity measures based on partial correlation provide an estimate of the linear conditional dependence between brain regions after removing the linear influence of other regions.
We consider the optimal control problem for a linear conditional McKean-Vlasov equation with quadratic cost functional.
The parameters associated with the time-constant covariates, however, cannot be identified from the linear conditional expectation of the unobserved covariate.
These approaches range from linear Conditional Random Fields (CRFs) to a combination of CRFs with regular expression and dictionary matching, followed by a post-processing step to tag those chemical names in a corpus of Medline abstracts.
In this article, it is shown that, if a specific type of pairwise dependence among sources exists, called linear conditional expectation (LCE) law, then a family of objective functions are valid for their separation.
In[19], it was shown that hyper-spectral data can be well modeled as having linear conditional expectations (LCEs), i.e. E[ S i |S j ] = a S j + b (see[19]).
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Keywords for regression techniques included linear, logistic, ordinal, non-linear, conditional, Poisson, binomial, and/or meta-regression.
aOdds ratio per 5°C increase in temperature adjusted for holidays, based on log-linear conditional logistic regression models fitted separately for each season.
Log-linear conditional logistic regression models were employed to analyse dose as a continuous variable, using PECAN (Preston et al, 1998).
Here we combine two linear chain conditional random fields (CRF) models employing different tokenizations and feature sets.
KEF's statistical named entity recognizer (NER) annotator can also use the Stanford NER tagger to tag people, organizations, and locations based on a linear chain Conditional Random Field sequence classifier.
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