Missing values

[mlsouth@cssip.levels.unisa.edu.au]

Connectionists,

I did a short study on methods for classification of incomplete data
18 months ago.

I compared the statistical methods of discrimination and classification
and the EM algorithm to some neural methods. These methods could only
be applied to an artificial data set due to the inavailability of
a set of real data with missing values. Despite this, I believe that
the conclusions are still sound.

A copy of the paper ``Classification of incomplete data using
neural networks'', M.L. Southcott, R.E. Bogner which was presented
to the Fourth Australian Conference on Neural Networks (ACNN '93)
is available via anonymous ftp from ftp.cssip.edu.au. 
The file is pub/users/michael/southcott.missing.ps

Michael Southcott				mlsouth at cssip.edu.au
Centre for Sensor Signal and Information Processing
SPRI Building, The Levels, Pooraka 5095, South Australia.