`
ENGR 692: Special Topics -- Machine Learning
ENGR 692: Special Topics -- Machine Learning
Department of Computer and Information
Science
The University of Mississippi
- Announcements:
- Instruction for writing your article reviews are posted on
the wiki
Article Review page. Bring a hardcopy to class on December 2nd. Reviews should be
posted on the wiki by then. Feel free to look at each others reviews. It may give you
some ideas on what to include in yours.
The Article List is available.
We'll randomly choose order. The dates are November 30th
and December 2nd. You will have 5 minutes to talk about the
contribution of the paper. You CANNOT use slides, handouts,
or a computer. Just talk about the paper. You can use
the whiteboard, but remember you won't have a lot of time.
- Schedule for the rest of the semester is posted on the Wiki.
- Some comments about the exam are available
here.
- Papers
- Bagging Predictors, Leo Breiman. Get TR 421 from
the
UC-Berkeley Statistics Technical Report list.
- The boosting approach to machine learning:
An overview, Rob Schapire. Available at
http://www.research.att.com/~schapire/boost.html
- On Comparing Classifiers Steven Salzberg. Available on
citeseer.
-
http://www-csli.stanford.edu/icml2k/craft.html
Crafting Papers on Machine Learning, Pat Langley.
- The textbook is
Machine Learning
by Tom M. Mitchell,
WCB/McGraw-Hill, 1997.
ISBN: 0-07-042807-7.
- We will be using a
class Wiki to manage class/group collaboration.
Fall 2004 Syllabus
Homework
Resources
Send comments or suggestions to
dwilkins@cs.olemiss.edu
Last modified: Thu Nov 11 09:29:40 CST 2004