Machine Learning and Case-Based Reasoning Home Pages: L

Nicolas Lachiche, University of Bristol
John Lafferty, Carnegie Mellon University
John Laird, University of Michigan
Artur Laksberg, Tartu University
Terran Lane, University of New Mexico
Steffen Lange, University of Leipzig
Pat Langley, Institute for the Study of Learning and Expertise
Guy Lapalme, University of Montreal
Steve Lawrence, University of Queensland
David Leake, Indiana University
Yann LeCun, AT&T Research Laboratory
Jung Jin Lee, University of Connecticut
Mary Soon Lee, Carnegie Mellon University
Seok Won Lee, George Mason University
Soowon Lee, University of Southern California
Mario Lenz, Humboldt University Berlin
Tse Yun Leong, University of Singapore
Brian Lees, University of Paisley
Michael Lehane, National Research Council of Canada
Wendy Lehnert, University of Massachusetts
Bob Levinson, University of California at Santa Cruz
Alon Levy, AT&T Labs
David D. Lewis, AT&T Labs
Sushil Lewis, University of Nevada, Reno
Henry Lieberman, Massachusetts Institute of Technology
Charles Ling, University of Western Ontario
Michael Littman, Brown University
Bing Liu, University of Singapore
Huan Liu, University of Singapore
Giuseppe Lo Bello, University of Torino
Arnt Lockert, University of Trondheim
Wei-Yin Loh, University of Wisconsin
Phil Long, Google
Alneu de Andrade Lopes, University of Porto
Lúis Seabra Lopes, University of Aveiro
Ramon López de Mántaras, Spanish Scientific Research Council
Fabiana Lorenzi, Universidade Federal do Rio Grande do Sul
David Lowe, University of British Columbia

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