CALL FOR PAPERS - ML94 Eleventh International Conference on Machine Learning New Brunswick, New Jersey July 10-13, 1994 The Eleventh International Conference on Machine Learning (ML94) will be held at the New Brunswick campus of Rutgers University during July 11-13, 1994, with workshops taking place on July 10th. The conference will be co-located with the Seventh Annual Conference on Computational Learning Theory (COLT94), which will be held July 12-15. We invite submissions to ML94 from researchers in machine learning or related fields, such as psychology, statistics, or neuroscience. The conference will include presentations of refereed papers and invited talks. REVIEW CRITERIA. Each submitted paper will be reviewed by at least two members of the program committee, and be judged on clarity, significance, and originality. Submissions should contain new results that have not been published previously. Submissions to ML94 may be submitted to other conferences, but if so a statement to this effect must appear on the title page. PAPER FORMAT. Submissions must be clearly legible, with good quality print. Papers are limited to a total of twelve (12) pages, excluding title page and bibligraphy, but including all tables and figures. Papers must be printed on 8 1/2" x 11" or A4 paper using 12 point type (10 characters per inch for typewriters). Each page must have a maximum of 38 lines and an average of 75 characters per line (corresponding to the LaTeX article style, 12 point). Papers not adhering to this format may be returned without review. Double-sided printing is strongly encouraged. The title page of each paper must include the e-mail and postal addresses of all authors, an abstract, and one or more keywords from the following list to aid in the reviewing process: analogy, Bayesian learning, case-based reasoning, cognitive modeling, computational learning theory, concept formation, decision trees, discovery, explanation-based learning, genetic algorithms, inductive logic programming, instance-based learning, knowledge acquisition, minimum description length, neural networks, reformulation, reinforcement learning, scientific theory formation, speedup learning, theory refinement, unsupervised learning, constructive induction, multi-strategy learning. REQUIREMENTS FOR SUBMISSION. Authors must submit five copies of their papers to the address below; electronic or FAX submission is not acceptable. Papers must be received by February 8, 1994. Notification of acceptance or rejection will be mailed to the first (or designated) author by March 25, 1994. Camera-ready copy of accepted papers will be due April 26, 1994. Send conference paper submissions to: William W. Cohen, ATT Bell Laboratories, 600 Mountain Avenue, Room 2A-427, Murray Hill, NJ 07974 (908)-582-2092. INFORMAL WORKSHOPS. Proposals are invited for informal workshops in areas of interest related to machine learning. Send a two-page proposal to: Russell Greiner, ML94 Workshop Chair, Siemens Corporate Research, 755 College Road East, Princeton, NJ 08540, by December 1, 1993, indicating the organizer(s), nature and objective of the proposed workshop, and the likely number of attendees. GENERAL INQUIRIES: ml94@cs.rutgers.edu CONFERENCE CO-CHAIRS: William W. Cohen Haym Hirsh ATT Bell Laboratories Department of Computer Science 600 Mountain Avenue Rutgers University Murray Hill, NJ 07974 New Brunswick, NJ 08903 wcohen@research.att.com hirsh@cs.rutgers.edu PROGRAM COMMITTEE: David Aha, NRL Yuichiro Anzai, Keio U. Eric Baum, NEC Francesco Bergadano, U. Torino Wray Buntine, NASA Jason Catlett, ATT Marie des Jardins, SRI Tom Dietterich, Oregon St. U. Doug Fisher, Vanderbilt U. John Grefenstette, NRL Russ Greiner, Siemens Geoff Hinton, U. Toronto Leslie Kaelbling, Brown U. Dennis Kibler, UCI John Laird, U. Michigan Sridhar Mahadevan, S. Florida Hiroshi Motoda, Hitachi Ray Mooney, U. Texas Katharina Morik, U. Dortmund Mike Pazzani, UCI Lenny Pitt, U. Illinois Lorien Pratt, Colorado S. of Mines Armand Prieditis, UC/Davis Paul Rosenbloom, USC/ISI Stuart Russell, UCB Lorenza Saitta, U. Torino Claude Sammut, U. New S. Wales Cullen Schaffer, Hunter College Rich Sutton, GTE Paul Utgoff, U. Mass Stefan Wrobel, GMD Steve Whitehead, GTE Manuela Veloso, CMU Kenji Yamanishi, NEC WORKSHOP CHAIR: Russell Greiner Siemens Corporate Research 755 College Road East Princeton, NJ 08540 greiner@learning.scr.siemens.com LOCAL ARRANGEMENTS: Priscilla Rasmussen Department of Computer Science Rutgers University New Brunswick, NJ 08903 rasmusse@cs.rutgers.edu