CSCE 478/878 (Fall 2006) Oral Presentation Schedule
Note: At the time of your talk, put your presentation on the web or bring it on
a CD or USB key.
You should show up early to put your
presentation on the computer (or email it to me ahead of time).
Doing so before the start of the session as
opposed to right before your talk will speed things up for everyone.
(You may use your own laptop if you wish, but things will go faster if we
use a single machine.)
You are expected to attend as many talks as possible, especially those during
regular class periods.
You should consider your presentation's scheduled time slot final unless you
have a conflict that you absolutely cannot change. This is to prevent
constant modifications of the presentation schedule, which require alterations
to everyone else's schedules and potential problems with room and equipment
reservations.
Each talk will be 15 minutes, plus 5
minutes for questions. Hence a total of 20 minutes is allotted per talk.
However, this is only an approximation! Don't
assume that your talk will start exactly at the time implied by the
given schedule.
- Session 1: Genetic Algorithms and Multiagent Systems
Tuesday, December 5, 2006, 9:20-10:45, Avery 19
- L. D. Miller
Genetic Algorithms for Learning with Small Amounts of Training Data
- Daniel Hutchinson
Genetic Algorithms in Constrained Domains
- Zach Mettenbrink
Learning in Multiagent Systems
- Hui Nee Chin
Learning in Multiagent Systems
- Session 2: Applications
Thursday, December 7, 2006, 9:20-10:45, Avery 19
- Madeline Diep
Machine Learning in Software Engineering
- Gavin Koehler
Modeling Web Users
- Sean Campbell
Language Translation
- Brian Kell
Language Recognition
- Session 3: Experimental Studies
Friday, December 8, 2006, 3:00-5:00, Avery 347
NOTE: Someone will need to bring a laptop for
general use to this session, as I will be using mine to grade.
- Zach Blomme and Thomas Triplet
Subcellular Localization
- Tao Hong
Active Learning to Minimize Area Under the Lower Envelope
- James Christofis
Active Learning to Maximize Area Under the ROC Curve
- Julie Sunderman
Budgeted Learning
- Daniel Podany
The Impact of Representation
- Adam Eck
Comparative Study of Clustering Algorithms
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Last modified 16 August 2011; please report problems to
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