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Tutorials

Important Announcements:

For some of the tutorials, the number of pre-registrations exceeds the capacities of the reserved rooms. We expect that not all people who registered for a tutorial will show up, but we recommend that you come early to the tutorials of your choice in order to secure a seat.
Tutorial Notes and Workshop Proceedings will not be distributed at the conference, they will only be available online. Participants are expected to print out their own copies if they want to have a hard copy at the conference.

The 21st International Conference on Machine Learning (ICML-2004) will host eight tutorials. All tutorials will be held on the first day of the conference, July 4th, 2004. This is the Kernel Day of the conference, which will feature joint sessions on kernel-based methods with the colocated 17th Annual Conference on Learning Theory (COLT-04).

Morning Tutorials

Morning Tutorials will be held 8:30 - 12:20, with a coffee break from 10:10 - 10:40.

M1: The Many Faces of ROC Analysis in Machine Learning
- Peter Flach (University of Bristol)
Tutorial Notes: PDF (2,2 MB) | Part 1 | Part 2 | Part 3
Room: Aspen

M2: Bayesian Methods for Machine Learning
- Zoubin Ghahramani (University College London)
Tutorial Notes: PDF (0,5 MB)
Room: Assiniboine/Castle

M3: Spectral Clustering
- Chris Ding (Lawrence Berkeley National Laboratory)
Tutorial Notes: PDF (1MB) | Part 1 | Part 2
Room: Cedar

M4: Game-theoretic Learning
- Amy Greenwald (Brown University)
Tutorial Notes: not yet available
Room: Black Bear

Lunchtime Tutorial

The lunchtime tutorial will beld from 12:40 - 16:00 (coffee break 14:00 to 14:20) in order to minimize the overlap with the regular kernel sessions on July 4th. It will be possible to have lunch while attending the tutorial.

A2: Kernels for Structured Data
- Thomas Gärtner (Fraunhofer Institut AIS)
Tutorial Notes: PDF (2.6MB) | Part 1 | Part 2 | Part 3 | Part 4
Room: Assiniboine/Castle

Afternoon Tutorials

Afternoon Tutorials will be held 14:20 - 18:10, with a coffee break from 16:00 - 16:30.

A1: Junk E-mail Filtering
- Geoff Hulten (Microsoft)
- Joshua Goodman (Microsoft Resevarch)
Tutorial Notes: PDF (1,5MB) | PPT (6,9MB)
Room: Aspen

A3: Probabilistic Logic Learning
- James Cussens (University of York)
- Kristian Kersting (Albert-Ludwigs University of Freiburg)
Tutorial Notes: various formats (4,2 MB) | Part 1 | Part 2 | Part 3 | Part 4 | Part 5 | Part 6 | Part 7 | Part 8
Room: Cedar

A4: Data Structures for Fast Statistics
- Alexander Gray (Carnegie Mellon University)
- Andrew Moore (Carnegie Mellon University)
Tutorial Notes: will be handed out at the start of the tutorial session
Rooms: Black Bear (before coffee) and Assiniboine/Castle (after coffee)

Proposals for tutorials were accepted until February 13, 2004. A copy of the call for proposals can be found here.

Registration

The tutorials are free for all registered participants of ICML. Please indicate on the registration form which tutorials you intend to visit.

People who do not plan on attending the main conference can register for the tutorials for USD 78. This includes breakfast, lunch, two coffee breaks, and access to all tutorials.

Please register early, because flights and hotel rooms will fill up quickly.

Contact

General questions about the tutorials can be addressed the tutorial chair Johannes Fürnkranz. For questions on individual tutorials please contact the presenters.