Announcing the
JOURNAL of MACHINE LEARNING RESEARCH
The Journal of Machine Learning Research (JMLR) provides an
international forum for the electronic and paper publication of
high-quality scholarly articles in all areas of machine learning.
JMLR seeks previously unpublished papers that contain:
- new algorithms with empirical, theoretical, psychological, or
biological justification;
- experimental and/or theoretical studies yielding new insight into the
design and behavior of learning in intelligent systems;
- accounts of applications of existing techniques that shed light on
the strengths and weaknesses of the methods;
- formalization of new learning tasks (e.g., in the context of new
applications) and of methods for assessing performance on those tasks;
- development of new analytical frameworks that advance theoretical
studies of practical learning methods;
- computational models of data from natural learning systems at the
behavioral or neural level; or
- extremely well-written surveys of existing work.
JMLR has a commitment to rigorous yet rapid reviewing; reviews are
returned within six weeks of paper submission. Final versions are
published electronically immediately upon receipt, and an annual paper
volume is published by MIT Press and sold to libraries and individuals.
JMLR is accepting new submissions. Please see http://www.jmlr.org for
submission information.
Accepted papers, when published on the web, will be announced via an
email list. To subscribe, send an email message to
[EMAIL PROTECTED] with body text "subscribe jmlr-announce" (without
quotation marks).
Editor: Leslie Pack Kaelbling
Managing Editor: David Cohn
Action Editors:
Peter Bartlett, Australian National University, Australia
Craig Boutilier, University of Toronto, Canada
Claire Cardie, Cornell University, US
Peter Dayan, University College, London, UK
Thomas Dietterich, Oregon State University, US
Donald Geman, University of Massachusetts at Amherst, US
Michael Jordan, University of California at Berkeley, US
Michael Kearns, AT&T Research, US
John Lafferty, Carnegie Mellon University, US
Heikki Mannila, Helsinki University of Technology, Finland
Fernando Pereira, Whizbang! Laboratories, US
Pietro Perona, California Institute of Technology, US
Stuart Russell, University of California at Berkeley, US
Claude Sammut, University of New South Wales, Australia
Bernhard Schoelkopf, Microsoft Research, Cambridge, UK
Larry Wasserman, Carnegie Mellon University, US
Stefan Wrobel, Otto-von-Guericke-Universitat Magdeburg, Germany
Editorial Board:
Naoki Abe, NEC Corporation, Japan
Christopher M. Bishop, Microsoft Research, UK
Andrew G. Barto, University of Massachusetts, Amherst, USA
Henrik Bostrom, Stockholm University/KTH, Sweden
Carla Brodley, Purdue University, USA
Nello Cristianini, Royal Holloway, University of London, UK
William W. Cohen, Whizbang! Laboratories, USA
David Cohn, Burning Glass Technologies, USA
Luc De Raedt, University of Freiburg, Germany
Saso Dzeroski, Jozef Stefan Institute, Slovenia
Nir Friedman, Hebrew University, Israel
Dan Geiger, The Technion, Israel
Zoubin Ghahramani, University College London, UK
Sally Goldman, Washington University, St. Louis, USA
Russ Greiner, University of Alberta, Canada
David Heckerman, Microsoft Research, USA
Thomas Hofmann, Brown University, USA
Tommi Jaakkola, Massachusetts Institute of Technology, USA
Daphne Koller, Stanford University, USA
Michael Littman, AT&T Research, USA
Sridhar Mahadevan, Michigan State University, USA
Yishay Mansour, Tel-Aviv University, Israel
Andrew McCallum, Whizbang! Laboratories, USA
Raymond J. Mooney, University of Texas at Austin, USA
Stephen Muggleton, York University, UK
Foster Provost, New York University, USA
Dana Ron, Tel-Aviv University, Israel
Lawrence Saul, AT&T Labs, USA
John Shawe-Taylor, Royal Holloway, University of London, UK
Dale Schuurmans, University of Waterloo, Canada
Yoram Singer, The Hebrew University, Israel
Alex Smola, Australian National University, Australia
Padhraic Smyth, University of California at Irvine, USA
Moshe Tennenholtz, The Technion, Israel
Sebastian Thrun, Carnegie Mellon University, USA
Naftali Tishby, Hebrew University, Israel
David Touretzky, Carnegie Mellon University, USA
Chris Watkins, Royal Holloway, University of London, UK
Robert C. Williamson, Australian National University, Australia
Advisory Board:
Shun-Ichi Amari, RIKEN Brain Science Institute, Japan
Andrew Barto, University of Massachusetts at Amherst, USA
Thomas Dietterich, Oregon State University, USA
Jerome Friedman, Stanford University, USA
Stuart Geman, Brown University, USA
Geoffrey Hinton, University College London, UK
Michael Jordan, University of California at Berkeley, USA
Michael Kearns, AT&T Research, USA
Steven Minton, University of Southern California, USA
Thomas Mitchell, Carnegie Mellon University, USA
Stephen Muggleton, University of York, UK
Nils Nilsson, Stanford University, USA
Tomaso Poggio, Massachusetts Institute of Technology
Ross Quinlan, University of New South Wales, Australia
Stuart Russell, University of California at Berkeley, USA
Terrence Sejnowski, Salk Institute for Biological Studies, USA
Richard Sutton, AT&T Research, USA
Leslie Valiant, Harvard University, USA
Stefan Wrobel, Otto-von-Guericke-Universitaet, Germany
