[image 02058] First CFP for First International Workshop on Symbolic-Neural Learning (SNL-2017)

[Koichi SHINODA]

皆様
（重複してお受け取りの節はご容赦下さい）

東工大の篠田です。

下記の通り，来年7月7,8日に名古屋国際会議場で第一回のSymbolic-Neural
Learningに関する国際会議を開催します。Keynote speakerは、モントリオール大学のYoshua
Bengio教授、CMUのWilliam Cohen教授、理研/東大の杉山将教授、産総研人工知能研究センター長の辻井潤一氏です。

シンボル(記号)の構造を活用した深層学習に関する投稿論文を募集します。投稿の締切は来年3月15日です。

ぜひご投稿いただけますよう、よろしくお願いいたします。

篠田

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We are pleased to announce the Workshop on Symbolic-Neural Learning
(SNL) to be held July 7-8, 2017 in Nagoya Japan.
http://www.ttic.edu/SNL2017/

Symbolic-neural learning involves deep learning methods in combination
with symbolic structures. A "deep learning method" is taken to be a
learning process based on gradient descent on real-valued model
parameters.
See the web site for more discussion.


Keynote speakers
will include

Yoshua Bengio (invited)Université de Montréal, Montréal, Canada
William Cohen (invited)Carnegie Mellon University, Pittsburgh, USA
Masashi SugiyamaRIKEN and University of Tokyo, Tokyo, Japan
Jun'ichi TsujiiAI Center, AIST, Tokyo, Japan

The call for papers and other details can be found at the web site.
Details of the paper submission system will be announced later.

David McAllester,  Yutaka Sasaki
Program co-chairs
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Koichi SHINODA, Professor,
Dept. Computer Science, Tokyo Institute of Technology
152-8552, Japan. Tel/Fax: +81-3-5734-3480