Paper available: Exploration using optimal experiment design

[David Cohn]

Those who find Peter Sollich's paper on query construction of interest
may also wish to look at the following paper, now available by
anonymous ftp. This is a slightly revised version of the paper that is
to appear in Advances in Neural Information Processing Systems 6, but
includes a correction to Equation 2 that was made too late to be
included in the NIPS volume.

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Neural Network Exploration Using Optimal Experiment Design

David A. Cohn
Dept. of Brain and Cognitive Sciences
Massachusetts Inst.\ of Technology 
Cambridge, MA 02139

Consider the problem of learning input/output mappings through
exploration, e.g. learning the kinematics or dynamics of a robotic
manipulator.  If actions are expensive and computation is cheap, then
we should explore by selecting a trajectory through the input space
which gives us the most amount of information in the fewest number of
steps.  I discuss how results from the field of optimal experiment
design may be used to guide such exploration, and demonstrate its use
on a simple kinematics problem.
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The paper may be retrieved by anonymous ftp to "psyche.mit.edu" using
the following protocol:

unix> ftp psyche.mit.edu

Name (psyche.mit.edu:joebob): anonymous    <- use "anonymous" here
331 Guest login ok, send ident as password.
Password: joebob at machine.univ.edu	   <- use your email address here
230 Guest login ok, access restrictions apply.
ftp> cd pub/cohn                           <- go to the directory
250 CWD command successful.
ftp> binary                                <- change to binary transfer
200 Type set to I.
ftp> get cohn.explore.ps.Z                 <- get the file
200 PORT command successful.
150 Binary data connection for cohn.explore.ps.Z ...
226 Binary Transfer complete.
local: cohn.explore.ps.Z remote: cohn.explore.ps.Z
301099 bytes received in 2.8 seconds (1e+02 Kbytes/s)
ftp> quit                                  <- all done
221 Goodbye.