Grace Wahba's Talks at SYSID, Rotterdam
Grace Wahba's Talks at SYSID2003,
Talk 1: An introduction to reproducing kernel Hilbert
spaces and why they are so useful. Talk 2:
An introduction to smoothing spline ANOVA models in
RKHS, with examples in geographical data, medicine,
atmospheric sciences and machine learning.
These are review talks.
Long abstracts for these talks are are
Overheads for talk 1 are here:
for talk 2 are here:
Talk two elaborates on the (nonstandard) Multicategory
Support Vector Machine.
The home page for the SYSID2003 is
A page including details on invited
sessions on RKHS is
A random photo at the SYSID meeting is
Overheads for a Shortcourse on Reproducing Kernel Hilbert Spaces
Grace Wahba and students' reports available on the web
Some `golden oldies' scanned for the web, including
Kimeldorf and Wahba (1971) (the representer theorem)
Grace Wahba's list of publications
Grace Wahba's home page