TR: Learning Distributed Representations for the Classification

[Christoph Goller]

of Terms
Return-Receipt-To: goller at informatik.tu-muenchen.de
Organization: TU-Muenchen

Technical Report available:

Comments are welcome !!

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FTP-host: ftp.informatik.tu-muenchen.de
FTP-filename: 
 /local/lehrstuhl/jessen/Group.Automated_Reasoning/Tech.Reports/AR-94-05.ps.gz
WWW: 
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 @TECHREPORT{label,
 AUTHOR = {C. Goller and A. Sperduti and A. Starita},
 TITLE = {Learning Distributed Representations 
          for the Classification of Terms},
 INSTITUTION = {Institut f\"{u}r Informatik, 
                Technische Universit\"{a}t M\"{u}nchen},
 YEAR = {1994},
 NUMBER = {AR-94-05} }


Abstract:

This paper is a study on LRAAM-based (Labeling Recursive Auto-Associative
Memory) classification of symbolic recursive structures encoding terms.
The results reported here have been obtained by combining an LRAAM
network with an analog perceptron.
The approach used was to interleave the development of representations
(unsupervised learning of the LRAAM) with the learning of the classification 
task. In this way, the representations are optimized with respect to the 
classification task. 
The intended applications of the approach described in this paper are hybrid
(symbolic/connectionist) systems, where the connectionist part has to
solve logic-oriented inductive learning tasks similar to the
term-classification problems used in our experiments. These problems range 
from the detection of a specific subterm to the satisfaction of a specific
unification pattern. We show that these problems
can get a very satisfactory solution by our approach.


* No hardcopy available.

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        Name: anonymous
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        ftp> cd /local/lehrstuhl/jessen/Group.Automated_Reasoning/Tech.Reports
        ftp> binary
        ftp> get AR-94-05.ps.gz
        ftp> bye
        unix> gunzip AR-94-05.ps.gz
        unix> lpr AR-94-05.ps (or however you print postscript)



_______________________________________________________________________________
Christoph Goller                                   Lehrstuhl VIII
Institut fuer Informatik                Research Group "Automated Reasoning" 
Technische Universitaet Muenchen               Tel.: +49-89/521097
Arcisstr. 21                                   Fax.: +49-89/526502
D-80290 Muenchen                        email: goller at informatik.tu-muenchen.de
Germany
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