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Joint Call for Tutorial Proposals
We hope this is not just another call for tutorials.
It's the first time, world-wide, that two major events in Machine Learning
and Data Mining are co-located. This is an unprecedented opportunity to
make each community aware of the research priorities and the resources
developed in the sister community.
With this joint call, we invite proposals for
tutorials surveying mature work in the learning and mining areas, presenting
emerging approaches or challenging applications, and introducing potential
users to the mining and learning methodologies.
Especially welcome are tutorials addressing one
of the following topics (non-exhaustive list):
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how to integrate the user in the learning and mining
loop (ranging from background knowledge specifications to visual tools,
including interestingness and cost-sensitive aspects);
- how to handle applicative requirements and particular data structures
(textual information, temporal series, biological sequences, meta-data,
inductive logic programming, applications);
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how to ensure robustness (Bayesian approaches, regularization,
support vector machines, feature reduction, extraction);
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how to construct and handle distributions (randomized
algorithms, boosting, reinforcement learning, evolutionary computation);
- how to evaluate the results ...
Tutorials will take place during Sept. 3-4 (in parallel to ECML'01) and
Sept. 6-7 (in parallel to PKDD'01). They will be freely accessible to
participants of both conferences. Tutorial notes will be put on the Web
site of the conference by mid-October 2001.
Timetable
Deadline for proposals:
Notification of acceptance:
Tutorial summary:
Tutorial notes (camera and Web-ready): |
February 28, 2001
March 16, 2001
May 1, 2001
July 27, 2001 |
Submission
The tutorial proposal must contain:
- A short description of the tutorial (1 paragraph),
- A tutorial syllabus (1 page).
- A description of the target audience, including prerequisites and
whether the tutorial is mostly aimed at ML or KDD people, if relevant,
- Motivations of relevance to the conference(s) themes.
- A short resume of the presenter(s), with address and evidence for
research and teaching experience.
What a tutorial should NOT be: promotion of the only presenter's work;
promotion of a product.
Proposals should be sent (electronic form preferred) to both:
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