Neuroprose submission

[Mark Plutowksi]

****** PAPER AVAILABLE VIA NEUROPROSE ***************************************
****** PLEASE DO NOT FORWARD TO OTHER MAILING LISTS OR BOARDS.  THANK YOU. **

The following paper has been placed in the Neuroprose
archives at Ohio State. The file is pluto.nips92.ps.Z.
Ftp instructions follow the abstract. 
Only an electronic version of this paper is available. 

This is the paper to appear in the NIPS 5 
proceedings due out later this year.

If you have high interest in the extended version  
(in preparation)  please email: pluto at cs.ucsd.edu


	"Learning Mackey-Glass From 25 Examples, Plus or Minus 2"
	
	   Mark Plutowski*, Halbert White**, Garrison Cottrell*

		* UCSD: Computer Science & Engineering, and the
		  Institute for Neural Computation.

		** UCSD: Department of Economics, and the
		  Institute for Neural Computation.


				  ABSTRACT

	We apply active exemplar selection to predicting a chaotic 
	time series. Given a fixed set of examples, the method chooses 
	a concise subset for training. Fitting these exemplars results
	in the entire set being fit as well as desired.  The algorithm 
	incorporates a method for regulating network complexity, automatically 
	adding exemplars and hidden units as needed.  Fitting examples 
	generated from the Mackey-Glass equation with fractal dimension 2.1 
	to an rmse of 0.01 required about 25 exemplars and 3 to 6 
	hidden units. The method requires an order of magnitude fewer
	floating point operations than training on the entire set of examples,
	is significantly cheaper than two contending exemplar selection 
	techniques, and suggests a simpler active selection technique that 
	performs comparably.


      -----------------------------------------------------
                        FTP INSTRUCTIONS

Either use "Getps pluto.nips92.ps.Z", or do the following:

     unix> ftp archive.cis.ohio-state.edu (or 128.146.8.52)
     Name: anonymous
     Password: neuron
     ftp> cd pub/neuroprose
     ftp> binary
     ftp> get pluto.nips92.ps.Z
     ftp> quit
     unix> uncompress pluto.nips92.ps.Z
     unix> lpr -s pluto.nips92.ps (or however you print postscript)


Mark E. Plutowski
Computer Science and Engineering
University of California, San Diego
9500 Gilman Drive
La Jolla, CA 92093-0114