CFP

 MSRI Workshop on Nonlinear Estimation and Classification
    Berkeley, California
    March 19-29, 2001

Web: http://cm.bell-labs.com/who/cocteau/nec/
email: nec@research.bell-labs.com

 SPEAKERS TO INCLUDE

 R. Baraniuk, L. Breiman,  B. Cleveland, D. Cox, I. Daubechies, T. Deittrich,
 R. DeVore, D. Donoho, J. Friedman, D. Mumford,  T. Poggio, A. Raftery,
 R. Schapire, C. Stone, G. Wahba, M. West, L. Zhao.

 ORGANIZING COMMITTEE
 David Denison (Imperial College), Mark Hansen (Bell Labs), Chris Holmes
 (Imperial College), Robert Kohn (Univ. of New South Wales), Bani Mallick (Texas
 A&M), Martin Tanner (Northwestern), Bin Yu (Bell Labs and UC Berkeley)

 GOALS

Researchers in many disciplines face the formidable task of analyzing
 massive amounts of high-dimensional and highly-structured data. This
 is due in part to recent advances in data collection and computing
 technologies. As a result, fundamental statistical research is being
 undertaken in a variety of different fields. Driven by the complexity
 of these new problems, and fueled by the explosion of available
 computer power, highly adaptive, non-linear procedures are now
 essential components of modern "data analysis," a term that we
 liberally interpret to include speech and pattern recognition,
 classification, data compression and signal processing. The
 development of new, flexible methods combines advances from many
 sources, including approximation theory, numerical analysis, machine
 learning, signal processing and statistics.  The proposed workshop
 intends to bring together eminent experts from these fields in order
 to exchange ideas and forge directions for the future. It also
 intends to introduce the research topics to graduate students by
 providing travel support and by requiring the last speaker of each
 session to give an overview of the field.

 PARTICIPATION AND CONTRIBUTED PAPERS

       Contributed presentations (talks and posters) are invited for
 original work related to the theme of the workshop. Submissions are
 to be in the form of an extended abstract, consisting of not more
 than 1 page (not including references). Students, recent Ph.D.'s,
 women and minorities are strongly encouraged to apply.

       Extended abstracts will be accepted in PostScript or PDF
formats and should be mailed to nec@research.bell-labs.com. When
 submitting papers, please also indicate whether travel funds are
 necessary for attendance. The deadline for extended abstracts is
 October 27, 2000. Notification of acceptance will be sent out on
 Dec. 1, 2000.