Preprint announcement: Generalization of a Parametric Learning Rule

[Samy Bengio]

FTP-host: archive.cis.ohio-state.edu
FTP-filename: /pub/neuroprose/bengio.general.ps.Z


The following file has been placed in neuroprose:
(no hardcopies will be provided):


           GENERALIZATION OF A PARAMETRIC LEARNING RULE (8 pages)

    by Samy Bengio, Yoshua Bengio, Jocelyn Cloutier, and Jan Gecsei


                            Abstract:

In previous work we discussed the 
subject of parametric learning rules for neural networks.
In this article, we present a theoretical basis permitting to study 
the {\it generalization} property of a learning rule whose parameters 
are estimated from a set of learning tasks. By generalization, we mean 
the possibility of using the learning rule to learn solve new tasks. 
Finally, we describe simple experiments on two-dimensional categorization 
tasks and show how they corroborate the theoretical results.


This paper is an extended version of a paper which will appear in ICANN'93: 
Proceedings of the International Conference on Artificial Neural Networks.


To retrieve the file:
 
unix> ftp cheops.cis.ohio-state.edu
Connected to cheops.cis.ohio-state.edu.
220 cheops.cis.ohio-state.edu FTP server ready.
Name: anonymous
331 Guest login ok, send ident as password.
Password:<your email adress>
230 Guest login ok, access restrictions apply.
ftp> binary
200 Type set to I.
ftp> cd pub/neuroprose
250 CWD command successful.
ftp> get bengio.general.ps.Z
200 PORT command successful.
150 Opening BINARY mode data connection for bengio.general.ps.Z
226 Transfer complete.
100000 bytes sent in 3.14159 seconds
ftp> quit
221 Goodbye.
unix> uncompress bengio.general.ps.Z
unix lpr bengio.general.ps (or however you print out postscript)

Many thanks to Jordan Pollack for maintaining this archive.


-- 
Samy Bengio	E-mail: bengio at iro.umontreal.ca	     Fax:       (514) 343-5834
		Tel: (514) 343-6111 ext. 3545/3494   Residence: (514) 495-3869
		Universite de Montreal, Dept. IRO, C.P. 6128, Succ. A,
		Montreal, Quebec, Canada, H3C 3J7