Jun 15, 2011 · We will for the first time apply this so-called l 1 -penalized linear regression mixed-effects model for a large scale real world problem.
Recently, a novel statistical model has been proposed to estimate population effects and individual variability between subgroups simultaneously ...
Missing: ℓ1- | Show results with:ℓ1-
Mar 30, 2011 · We will for the first time apply this so-called `1- penalized linear regression mixed-effects model for a large scale real world problem: we ...
We apply this ℓ1-penalized linear regression mixed-effects model to a large scale real world problem: by exploiting a large set of brain computer interface data ...
We apply this l1-penalized linear regression mixed-effects model to a large scale real world problem: by exploiting a large set of brain computer interface data ...
This method demonstrates that unsupervised transfer learning for single-trial detection in ERP-based BCIs can be achieved without the requirement of costly ...
Dive into the research topics of 'ℓ1-penalized linear mixed-effects models for high dimensional data with application to BCI'. Together they form a unique ...
In this work we study the application of new penalized regression methods to i) the spatial characterization of the brain networks associated with the ...
Dive into the research topics of 'ℓ1-penalized linear mixed-effects models for high dimensional data with application to BCI'. Together they form a unique ...
, â„“1-penalized linear mixed-effects models for high dimensional data with application to BCI. ; Fazli, Siamac ;. , ISSN: 1053-8119 , 1095-9572 ,. , ...
Missing: ℓ1- | Show results with:ℓ1-