Grace Wahba's Talk at SAMSI
Research Triangle Park, NC
April 1, 2003
Grace Wahba's Talk at SAMSI,
Research Triangle Park, NC,
April 1, 2003.
Statistical Model Building and Classification as Optimization
Problems in RKHS-Penalized Likelihood and Support Vector
Machines-Two and Several Categories
The talk examines the Multicategory Support Vector
Machine for classification and discusses its relation with
penalized likelihood estimation given polychotomous data.
The overheads for this talk are
here(ps)
(pdf).
For related papers see
TRLIST
A few pages on the tuning of (two class, standard) SVM's by the GACV
has been extracted from TR1006
here.
Multichotomous Penalized Likelihood estimates
are proposed in:
Xiwu Lin, TR 1003 (1998) (also thesis).
Overheads for a Shortcourse on Reproducing Kernel Hilbert Spaces
are
here.
The home page for the SAMSI
here.
A few (classic) references on smoothing parameter selection for the gaussian white
noise regression case:
here
.
Grace Wahba and students' reports available on the web
here.
Grace Wahba and students' reports available on the web
here.
Some `golden oldies' scanned for the web, including
Kimeldorf and Wahba (1971) (the representer theorem)
here.
Grace Wahba's list of publications
here.
Grace Wahba's home page
here.