new survey e-publication

[Arun Jagota]

New refereed e-publication 
action editor: John Shawe-Taylor

T. B. Ludermir, A. de Carvalho, A. P. Braga, M. C. P. de Souto,
Weightless neural models: a review of current and past works 
Neural Computing Surveys 2, 41--61, 1999. 108 references.

http://www.icsi.berkeley.edu/~jagota/NCS

Abstract:

  This paper presents a survey of a class of neural models known as
  Weightless Neural Networks (WNNs). As the name suggests, these
  models do not use weighted connections between nodes. Instead, a
  different kind of neuron model, usually based on RAM memory devices,
  is used. In the literature, the terms ``RAM-based'' and ``n-tuple 
  based'' systems are also commonly used to refer to WNNs.  WNNs are 
  being widely investigated, motivating relevant applications and two 
  international workshops in the last few years.

  The paper describes the most important works in WNNs found in the
  literature, pointing out the challenges and future directions in the
  area.  A comparative study between weightless and weighted models is
  also presented.