Thomas E. Kammeyer
About me...
I was a graduate student at the University of California at San Diego
in the Computer Science and Engineering Department. Then I graduated.
Now I may be found at kemosabi {that's the user name)
(type shift-2] reductio <that's the second-level domain)
(now type a radix separator> com (that's the TLD).
I only wrote that in last sentence in that way because it should make
it nominally harder to harvest the address from this page. The
mail harvesters are getting wise to the whole spell-the-symbol
trick.
My research interests are in machine learning; my thesis was concerned
with the use
of evolutionary algorithms for grammar induction. For the past
several years, however, I've worked in biotechnology on software
for molecular biology lab instrumentation
and on algorithms to interpret and analyze
the output of such instrumentation and on cluster and
desktop code for a medical device that delivers therapeutic
radiation to treat cancer.
A copy of
my thesis
is available via anonymous FTP
at ftp.cs.ucsd.edu as pub/guest/tkammeye/TEKthesis.ps.
Note that this is uncompressed postscript, size ~1.5M.
You can also just click on the link a couple of sentences
back. Linked here and in the ftp directory, you will also
find the following...
A version of my
FOGA4 paper on EvoGrams,
an evolutionary algorithm for stochastic context-free grammar
in the ftp directory.
Note that this is a version before edits were applied based
on reviews, so the version in the FOGA4 book would be better to
read. This version will suffice if you can't get the proceedings
in a timely fashion. The algorithm description influenced chapter
IV of the paper, and the results are folded into chapter V,
notably the results on learning and evolution in section G.
A slightly longer, though less polished, version of
an
Evolutionary Programming '98 article on
maintaining known good solutions in EAs.
This material found its way into the
thesis in chapter IV and chapter V, section F.
Not coming soon unless someone screams loud enough to get me to post it...
An article on evolving CMPX networks should be available here soon.
Chapter VI of the thesis covers the same material. The journal
article appeared in Artificial Life v2n2.
Finally, a FOGA3
article on developmental models in genetic algorithms
that I coauthored with Bill Hart
and Rik Belew
is available. This article contains a lot of the basic ideas
that motivated my thesis work and contains some
early parts of the evolving sorting networks work in chapter VI
of my thesis.
For anyone interested, the collection of ideas I wish I could've
worked on had there been time is in chapter 8, section C of my thesis.
The one that strikes me as most interesting is in VIII.C.1 and
is entitled "Derivational EvoGrams".
I was also the caretaker of GAucsd, a Genetic Algorithm
package maintained locally.
Interesting places to surf at UCSD...