Announcement of NIPS Workshop

[Lee Giles]

Announcement of NIPS Workshop:

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            RECURRENT NETWORKS: THEORY AND APPLICATIONS

Recurrent neural networks have a very large potential for handling
dynamical / sequential problems, e.g. recognition and classification
of time-dependent signals like speech, modelling and control of
dynamical systems, learning of grammars and symbolic processing, etc.
However, the fulfillment of this potential remains one of the
important open issues in the neural network area. Training algorithms
are very inefficient in terms of memory demands, computational needs
or both. Little is known about convenient architectures for recurrent
networks. The number of known successful applications is very limited.

Even for static applications (operation in the "fixed point mode"),
recurrent networks are more general, and therefore more powerful, in
principle, than feedforward ones. However, once again, little is known
about their actual (dis)advantages, convenient architectures,
successful applications, etc.

We welcome proposals for presentations ( no more than one page in
length) related to the theme of theory or applications of recurrent networks. 
Subject to the number of received proposals, we envisage a two day workshop, 
one day theory, the next day applications, with 15-20 minute
presentations, each followed by about 10 minutes of discussion. 

Please send proposals to Lee Giles.

Organizers:

Professor Luis Borges de Almeida
INESC
Rua Alves Redol, 9
Apartado 10105
1017 LISBOA CODEX PORTUGAL
351-1-544607
inesc!lba at relay.EU.net (or) 
lba at sara.inesc.pt

C. Lee Giles
NEC Research Institute
4 Independence Way
Princeton, N.J. 08540
609-951-2642
FAX: 609-951-2482
giles at research.nj.nec.com

Richard Rohwer                            
Centre for Speech Technology Research      
Edinburgh University                     
80, South Bridge                                 
Edinburgh  EH1 1HN,   Scotland             
(44 or 0) (31) 650-2764             
FAX: (44 or 0) (31) 226-2730
rr%ed.cstr at nsfnet-relay.ac.uk (or) 
rr at uk.ac.ed.cstr
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                                  C. Lee Giles
                                  NEC Research Institute
                                  4 Independence Way
                                  Princeton, NJ 08540
                                  USA

Internet:   giles at research.nj.nec.com
    UUCP:   princeton!nec!giles
   PHONE:   (609) 951-2642
     FAX:   (609) 951-2482