Call for papers: Neurocomputing Journal

[Marco Maggini]

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                 CALL FOR PAPER

                Special Issue on 
     Recurrent Networks for Sequence Processing
      in the Neurocomputing Journal (Elsevier) 

  M. Gori, M. Mozer, A.C. Tsoi, and R.L. Watrous (Eds)
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Recurrent neural networks are complex parametric dynamic 
systems that can exhibit a wide range of different behavior.
The focus of this issue will be on recurrent networks that 
turn out to be useful for processing any kind of temporal 
sequences. To this purpose, the network dynamics must be 
exploited for capturing temporal dependencies more than for 
relaxing, like Hopfield networks and Boltzmann machines, to 
steady-state fixed points. 
Possible topics for papers submitted to the special issue 
include, but are not limited to:

	Short- and long-term memory architectures: theoretical
	analyses and empirical studies comparing a variety of
	architectures;

	Learning algorithms (including constructive and pruning 
        schemes) and related theoretical issues 
	(e.g.: learning long-term dependencies, local minima); 

	Integration of prior knowledge and learning from examples;

	Problem of temporal chunking and learning embedded sequences;

	Application to recognition of time-dependent signals
	(e.g. various levels of speech tasks, biological signals
	both discrete (DNA, protein sequences) and continuous
	(ECG, EEG));

	Application to time-series prediction; 

	Application to modeling and control of dynamic systems 
	(e.g. mobile robot guidance);

	Application to inductive inference of grammars and to
	natural language processing.
 
Prospective authors should submit six copies of a manuscript to
one of the guest editors by March 30, 1995. 

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Marco Gori
Dipartimento di Sistemi e Informatica
Universita' di Firenze
Via S. Marta, 3
50139 Firenze (Italy)
voice: +39 (55) 479-6265
fax:   +39 (55) 479-6363
e-mail: marco at ingfi1.ing.unifi.it

Michael C. Mozer
Department of Computer Science
University of Colorado
Boulder, CO 80309-0430 (USA)
voice: +1 (303) 492-4103
fax:   +1 (303) 492-2844
e-mail: mozer at neuron.cs.colorado.edu

Ah Chung Tsoi
Department of Electrical and Computer Engineering
University of Queensland
Brisbane Qld 4072 Australia
voice: +61 (7) 365-3950
fax:   +61 (7) 365-4999
e-mail: act at s1.elec.uq.oz.au

Raymond L. Watrous
Learning System
Siemens Corporate Research
755 College Road East
Princeton, NJ 08540
voice: +1 (609) 734-6596
fax:   +1 (609) 734-6565
e-mail: watrous at learning.scr.siemens.com
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