Networks for pattern recognition problems?

[John.Hampshire@SPEECH2.CS.CMU.EDU]

Rich,

  Go talk with Smolensky out there in Boulder.  He
should be able to give you a bunch of refs.  See also
works by Lippmann over the past two years.
Barak Pearlmutter and I are working on a paper that
will appear in the proceedings of the 1990 
Connectionist Models Summer School which shows
that certain classes of MLP classifiers yield
(optimal) Bayesian classification performance on
stochastic patterns.  This beats traditional linear
classifiers...

  There are a bunch of results in many fields showing
that non-linear classifiers out perform more traditional
ones.  The guys at NOAA aren't up on the literature.
One last reference --- check the last few years of
NIPS and (to a lesser extent) IJCNN proceedings
NIPS = Advances in Neural Information Processing Systems
       Dave Touretzky ed., Morgan Kaufmann publishers
ICJNN = Proceedings of the International Joint Conference on
       Neural Networks, IEEE Press

John