Displaying 7 results from an estimated 7 matches for "nkraemer".
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kraemer
2007 Oct 09
0
new package ppls
...ude
* estimation of linear regression models with penalized PLS,
* estimation of generalized additive models with penalized PLS based on
splines transformations,
* model selection for both methods based on cross validation.
For more information on penalized PLS, see
http://ml.cs.tu-berlin.de/~nkraemer/papers/preprint_penalizedPLS.pdf
Please send an email to nkraemer at cs dot tu-berlin dot de for any
comments, suggestions, or reports on bugs.
Regards,
Nicole & Anne-Laure
--
Dr. Nicole Kr?mer
TU Berlin
Machine Learning/Intelligent Data Analysis fon: (+49) 30 314 78627
Franklinstr. 28/2...
2007 Oct 09
0
new package ppls
...ude
* estimation of linear regression models with penalized PLS,
* estimation of generalized additive models with penalized PLS based on
splines transformations,
* model selection for both methods based on cross validation.
For more information on penalized PLS, see
http://ml.cs.tu-berlin.de/~nkraemer/papers/preprint_penalizedPLS.pdf
Please send an email to nkraemer at cs dot tu-berlin dot de for any
comments, suggestions, or reports on bugs.
Regards,
Nicole & Anne-Laure
--
Dr. Nicole Kr?mer
TU Berlin
Machine Learning/Intelligent Data Analysis fon: (+49) 30 314 78627
Franklinstr. 28/2...
2010 Jan 06
0
parcor 0.2-2 - Regularized Partial Correlation Matrices with (adaptive) Lasso, PLS, and Ridge Regression
...can be found in the accompanying article
Nicole Kr?mer, Juliane Sch?fer, Anne-Laure Boulesteix.
Regularized Estimation of Large Scale Gene Association Networks using
Gaussian Graphical Models
BMC Bioinformatics, 10:384, 2009.
http://www.biomedcentral.com/1471-2105/10/384
Please send an email to nkraemer at cs.tu-berlin.de for any comments,
suggestions, or bug reports.
Best regards,
Nicole & Juliane
--
Dr. Nicole Kr?mer
TU Berlin
Machine Learning/Intelligent Data Analysis fon: (+49) 30 314 78627
Franklinstr. 28/29, 10587 Berlin, Germany fax: (+49) 30 314 78622
web: http://ml.cs.tu-berlin....
2010 Jan 06
0
parcor 0.2-2 - Regularized Partial Correlation Matrices with (adaptive) Lasso, PLS, and Ridge Regression
...can be found in the accompanying article
Nicole Kr?mer, Juliane Sch?fer, Anne-Laure Boulesteix.
Regularized Estimation of Large Scale Gene Association Networks using
Gaussian Graphical Models
BMC Bioinformatics, 10:384, 2009.
http://www.biomedcentral.com/1471-2105/10/384
Please send an email to nkraemer at cs.tu-berlin.de for any comments,
suggestions, or bug reports.
Best regards,
Nicole & Juliane
--
Dr. Nicole Kr?mer
TU Berlin
Machine Learning/Intelligent Data Analysis fon: (+49) 30 314 78627
Franklinstr. 28/29, 10587 Berlin, Germany fax: (+49) 30 314 78622
web: http://ml.cs.tu-berlin....
2008 Jul 10
0
ppls: version 1.02 including a new data set
...measurements
from quantitative near-infrared spectroscopy.
Best regards,
Nicole & Anne-Laure
--
Dr. Nicole Kr?mer
TU Berlin
Machine Learning/Intelligent Data Analysis fon: (+49) 30 314 78627
Franklinstr. 28/29, 10587 Berlin, Germany fax: (+49) 30 314 78622
web: http://ml.cs.tu-berlin.de/~nkraemer
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R-packages mailing list
R-packages at r-project.org
https://stat.ethz.ch/mailman/listinfo/r-packages
2011 Jan 12
0
Multivariate autoregressive models with lasso penalization
...estimate sparse causal networks from simulated time series data.
Although there's some discussion about this problem in the literature (at
least a few authors have used lasso and l(1,2) regularization to enforce
sparsity in multivariate autoregressive models, e.g.,
http://user.cs.tu-berlin.de/~nkraemer/papers/grplasso_causality.pdf), I
can't find any R packages with these capabilities.
Has anyone in the R community experimented with such or put code out for
this problem?
Many thanks.
John
--
John M. Drake, Ph.D.
Associate Professor
University of Georgia
Odum School of Ecology
Athens, GA 3...
2008 Jul 10
0
ppls: version 1.02 including a new data set
...measurements
from quantitative near-infrared spectroscopy.
Best regards,
Nicole & Anne-Laure
--
Dr. Nicole Kr?mer
TU Berlin
Machine Learning/Intelligent Data Analysis fon: (+49) 30 314 78627
Franklinstr. 28/29, 10587 Berlin, Germany fax: (+49) 30 314 78622
web: http://ml.cs.tu-berlin.de/~nkraemer
_______________________________________________
R-packages mailing list
R-packages at r-project.org
https://stat.ethz.ch/mailman/listinfo/r-packages