CSCE 478/878 (Fall 2003) Project Ideas
In this course you will do a substantial project. This project can be:
(1) a very extensive literature search and summary on a particular
topic, (2) a good implementation and evaluation of a known result in
machine learning, or (3) a small (but nontrivial) amount of original
research related to machine learning. You may work on these
projects individually or in small groups, though if you work in a group,
my expectations will be much higher when I grade your project.
You will summarize your project results in a written report and an oral
presentation. If your project involves an implementation, then you may
be asked to also give a brief demonstration. The written report must
use a professional writing style similar to that found in an
journal, including abstract, introduction, summary of related work, your
contribution, references, and an appendix (if necessary). The oral
will be to the entire class at the end of the semester: during Dead
Week (December 8-12), and if necessary, during the week prior to Dead
Week (December 1-5). You will submit your written report to
me no later than 11:59:59 p.m. on
December 14 (the last day of dead week). In
accordance with UNL dead week policies, you have now been informed in
writing of the nature and scope of this project prior to the eighth week
Later this semester (around October 6) I will set a deadline
for submission of 1-3 paragraph proposals on your projects. You must do this
in order to get full credit for your project, and you must get my approval on
it before starting work on your project.
I will provide a list of possible topics later this semester, but you
may propose your own topic as well. To be a valid topic,
it must go beyond the scope of the course. So your project could be on
a topic we did not cover in class at all, or could more deeply explore
a topic we covered in class.
The proposal submission deadline is
Wednesday, Oct. 15
Friday, Oct. 17.
Rules on projects, a.k.a. what
to turn in for your proposal and for your final project writeup
Tips on Presenting Technical Material
Schedule of this semester's project presentations
- Sources of project ideas:
- If your thesis research or a project you are doing
for another course is appropriate for this course's project, I may allow you to
use it for this course. But you still need to submit a proposal.
- See this list of
ideas for topic surveys or implementations of existing
systems. Some of these could be turned into research projects, e.g. a thesis
or project for MS or BS.
- Check the projects done in the following previous offerings of CSCE 970
and CSCE 478/878 (Machine Learning). You may choose to expand on one of these
- Look at projects done in other machine
learning courses. But
if you choose such a project, please do not contact the instructors or TAs of
these courses without talking to me first!
If you think one of these ideas is interesting, send me a proposal just like
you would with any other project idea. Then, if necessary, I will contact the
instructor of that course for more information.
- Look at the "Summary and Further Reading" sections at the end
of each chapter of the textbook.
- Review papers from recent conference proceedings and journals.
(see my machine learning
hotlist for some links).
- See this
survey paper by Tom Dietterich on current research directions in machine
learning [from AI Magazine, vol. 18, no. 4, pp. 97-136].
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