Announcing: The Journal of Machine Learning Research

[Leslie Pack Kaelbling]

			    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JMLR seeks previously unpublished papers that contain: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
majordomo at ai.mit.edu 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