The Workshop for Women in Machine Learning will be held in San Diego on October 4, 2006.
For details see the workshop website:
http://www.seas.upenn.edu/~wiml/
IJCAI is out of season
IJCAI is running January 6-12 in Hyderabad India rather than a more traditional summer date. (Presumably, this is to avoid melting people in the Indian summer.)
The paper deadline(June 23 abstract / June 30 submission) are particularly inconvenient if you attend COLT or ICML. But on the other hand, it’s a good excuse to visit India.
NIPS paper evaluation criteria
John Platt, who is PC-chair for NIPS 2006 has organized a NIPS paper evaluation criteria document with input from the program committee and others.
The document contains specific advice about what is appropriate for the various subareas within NIPS. It may be very helpful, because the standards of evaluation for papers varies significantly.
This is a bit of an experiment: the hope is that by carefully thinking about and stating what is important, authors can better understand whether and where their work fits.
Update: The general submission page and Author instruction including how to submit an appendix.
Conferences, Workshops, and Tutorials
This is a reminder that many deadlines for summer conference registration are coming up, and attendance is a very good idea.
- It’s entirely reasonable for anyone to visit a conference once, even when they don’t have a paper. For students, visiting a conference is almost a ‘must’—there is no where else that a broad cross-section of research is on display.
- Workshops are also a very good idea. ICML has 11, KDD has 9, and AAAI has 19. Workshops provide an opportunity to get a good understanding of some current area of research. They are probably the forum most conducive to starting new lines of research because they are so interactive.
- Tutorials are a good way to gain some understanding of a long-standing direction of research. They are generally more coherent than workshops. ICML has 7 and AAAI has 15.
Rexa is live
Rexa is now publicly available. Anyone can create an account and login.
Rexa is similar to Citeseer and Google Scholar in functionality with more emphasis on the use of machine learning for intelligent information extraction. For example, Rexa can automatically display a picture on an author’s homepage when the author is searched for.