Paper availble : Classification using Hierarchical Mixtures of Experts.

[srw1001@eng.cam.ac.uk]

The following paper is available by anonymous ftp from the
archive of the Speech, Vision and Robotics Group at the Cambridge
University Engineering Department and the Neuroprose archives.

			

	 CLASSIFICATION USING HIERARCHICAL MIXTURES OF EXPERTS

		  Steve Waterhouse and Tony Robinson


	    Cambridge University Engineering Department 
		        Trumpington Street 
		        Cambridge CB2 1PZ 
			     England 


                             Abstract

There has recently been widespread interest in the 
use of multiple models for classification and regression in the
statistics and neural networks communities. The Hierarchical Mixture
of Experts (HME) \cite{JordanJacobs94} has
been successful in a number of regression problems, yielding
significantly faster training through the use of the Expectation
Maximisation algorithm. In this paper we 
extend the HME to classification and results are reported 
for three common classification benchmark tests: Exclusive-Or, N-input
Parity and Two Spirals.

Reference :

In Proc. 1994 IEEE Workshop on Neural Networks for Signal Processing, 
pp 177-186.


************************ How to obtain a copy ************************

a) via ftp from Cambridge University SVR:

unix> ftp svr-ftp.eng.cam.ac.uk
Name: anonymous
Password: (type your email address)
ftp> cd reports
ftp> binary
ftp> get waterhouse_hme.ps.Z
ftp> quit
unix> uncompress waterhouse_hme.ps.Z
unix> lpr waterhouse_hme.ps (or however you print PostScript)

b) via ftp from neuroprose archive:

unix> ftp 
Name: anonymous
Password: (type your email address)
ftp> cd pub/neuroprose/reports
ftp> binary
ftp> get waterhouse.hme_classification.ps.Z
ftp> quit
unix> uncompress waterhouse.hme_classification.ps.Z
unix> lpr waterhouse.hme_classification.ps (or however you print PostScript)


c) or email me: srw1001 at eng.cam.ac.uk

d) (easiest) access my WWW page http://svr-www.eng.cam.ac.uk/~srw1001, 
where the file is symlinked.


-----------------------------------------------------

Steve Waterhouse, Information Engineering,
Cambridge University Engineering Department,
Trumpington Street, Cambridge  CB2 1PZ, UK.
Email: srw1001 at eng.cam.ac.uk  Phone  : (0223) 332800
World Wide Web: http://svr-www.eng.cam.ac.uk/~srw1001