11.69, Calls: Extension:Conf on Machine Learning

[LINGUIST Network]

LINGUIST List:  Vol-11-69. Sun Jan 16 2000. ISSN: 1068-4875.

Subject: 11.69, Calls: Extension:Conf on Machine Learning

Moderators: Anthony Rodrigues Aristar: Wayne State U.<aristar at linguistlist.org>
            Helen Dry: Eastern Michigan U. <hdry at linguistlist.org>
            Andrew Carnie: U. of Arizona <carnie at linguistlist.org>

Reviews: Andrew Carnie: U. of Arizona <carnie at linguistlist.org>

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                    Ljuba Veselinova <ljuba at linguistlist.org>
		    Scott Fults <scott at linguistlist.org>
		    Jody Huellmantel <jody at linguistlist.org>
		    Karen Milligan <karen at linguistlist.org>

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		    Naomi Ogasawara <naomi at linguistlist.org>
		    James Yuells <james at linguistlist.org>

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                      Sudheendra Adiga <sudhi at linguistlist.org>
                      Qian Liao <qian at linguistlist.org>

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Editor for this issue: Karen Milligan <karen at linguistlist.org>
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=================================Directory=================================

1)
Date:  Fri, 14 Jan 2000 16:07:40 -0800 (PST)
From:  Seth Rogers <rogers at rtna.daimlerchrysler.com>
Subject:  Extension: International Conference on Machine Learning

-------------------------------- Message 1 -------------------------------

Date:  Fri, 14 Jan 2000 16:07:40 -0800 (PST)
From:  Seth Rogers <rogers at rtna.daimlerchrysler.com>
Subject:  Extension: International Conference on Machine Learning

To reduce conflict with other conferences, we have decided to delay
the submission deadline for the Seventeenth International Conference
on Machine Learning by one week. The new deadline for ICML-2000 is

                   Monday, January 31, 2000

Authors must still send information about their plans to submit,
including an electronic abstract, by the earlier date of Monday,
January 24. For more information, see the conference web site at

              http://www-csli.stanford.edu/icml2k/

ICML-2000 will be held at Stanford University from June 29 to July 2,
2000, and welcomes submissions on all aspects of the computational
study of learning.

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