Exploiting duality to analyze ANNs

[Pankaj Mehra]

Several people requested a PostScript copy of the following citation
from my previous note:

- - ------
2. ``Principled Constructive Induction,'' by Mehra, Rendell, & Wah,
   Proc. IJCAI-89. (Extended abstract in Machine Learning Workshop, 1989.)

   Abstract ideas of Satosi Watanabe on object-predicate duality are
   given a concrete interpretation for learning systems. This paper
   introduces inverted spaces similar to sample spaces (somewhat customized
   for 2-class discrimination). A preliminary result relating the geometry
   and statistics of feature construction is proved.
- - ------

A REVISED version of this paper is now available from the neuroprose archive.
The IJCAI paper contained a few oversights; these have been fixed in the
recent revision.

- - -Pankaj

+++++++ HERE'S HOW TO GET THE PAPER +++++++

<you at your machine 1> ftp archive.cis.ohio-state.edu (128.146.8.52)
Connected to 128.146.8.52.
220 archive FTP server (SunOS 4.1) ready.
Name (128.146.8.52:you): anonymous
331 Guest login ok, send ident as password.
Password: neuron
230 Guest login ok, access restrictions apply.
ftp> cd pub/neuroprose
250 CWD command successful.
ftp> binary
200 Type set to I.
ftp> get mehra.duality.ps.Z
200 PORT command successful.
150 Binary data connection for mehra.duality.ps.Z (128.174.31.18,1296) (48242 by
tes).
226 Binary Transfer complete.
local: mehra.duality.ps.Z remote: mehra.duality.ps.Z
48242 bytes received in 6.4 seconds (7.3 Kbytes/s)
ftp> quit
221 Goodbye.
<you at your machine 2> uncompress mehra.duality.ps
<you at your machine 3> lpr -P<name of PostScript printer> mehra.duality.ps