BTW -- I would like to encourage people insert such useful references directly into our bib/pymvpa.bib in the repository.
I've done that for the http://www.ncbi.nlm.nih.gov/pubmed/18793733 paper will add original papers as well in a sec On Tue, 03 Feb 2009, Per B. Sederberg wrote: > Hi Folks: > I just wanted to let you know that I just added in a new > regression-based classifier to PyMVPA that I think is going to be very > effective: the elastic net (ENET). It's a variant on least angle > regression (LARS), but it has both L1 and L2 priors so that it > sparsifies the features AND keeps redundant features, which helps with > both generalizability and with sensitivity analysis. > As with LARS, I simply wrapped the R code written by the authors of > this manuscript: > Zou and Hastie (2005) 'Regularization and Variable Selection via > the Elastic Net' Journal of the Royal Statistical Society, Series > B, 67, 301-320. -- Yaroslav Halchenko Research Assistant, Psychology Department, Rutgers-Newark Student Ph.D. @ CS Dept. NJIT Office: (973) 353-1412 | FWD: 82823 | Fax: (973) 353-1171 101 Warren Str, Smith Hall, Rm 4-105, Newark NJ 07102 WWW: http://www.linkedin.com/in/yarik _______________________________________________ Pkg-ExpPsy-PyMVPA mailing list [email protected] http://lists.alioth.debian.org/mailman/listinfo/pkg-exppsy-pymvpa
