CFP

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In KDnuggets 99:25, Seth Rogers sent out a general CFP for the International
Conference on Machine Learning (ICML-2000).  Traditionally, papers on machine
learning applications have been poorly represented at ICML.  This year,
ICML-2000 is making an effort to attract such papers.  Since many KDnuggets
readers are involved in applied ML research, I wanted to elaborate on changes
that may affect their decision to submit a paper.

- ICML-2000 is specifically inviting papers that discuss issues arising in the
  application of machine learning algorithms.  Such issues include the effect
  of the developers' decisions about problem formulation, representation, data
  quality, and reward function on the learning process.  Of course,
  traditional algorithm-centered papers are welcome as well.

- Applications papers will be reviewed by program committee members with
  expertise in ML applications.  Reviews will be resolved by an area chair and
  the program chair.

- The review process will allow for conditional acceptance of papers,
  contingent on changes specified by the area chair.  This should make the
  process less "binary", and accomodate some papers with correctible problems.

I'm hoping that ICML's traditional strength in machine learning algorithms can
benefit applied researchers, and that ICML can become a forum in which
applications work is appreciated.

Regards,
-Tom
--
Tom Fawcett, MS 1U-4B
Hewlett-Packard Laboratories
1501 Page Mill Rd.
Palo Alto, CA  94304
USA

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