ENIGMA: A System That Learns Diagnostic Knowledge.
Attilio Giordana, Lorenza Saitta, Francesco Bergadano, Filippo Brancadori, Davide De Marchi:
ENIGMA: A System That Learns Diagnostic Knowledge.
IEEE Trans. Knowl. Data Eng. 5(1): 15-28(1993)@article{DBLP:journals/tkde/GiordanaSBBM93,
author = {Attilio Giordana and
Lorenza Saitta and
Francesco Bergadano and
Filippo Brancadori and
Davide De Marchi},
title = {ENIGMA: A System That Learns Diagnostic Knowledge},
journal = {IEEE Trans. Knowl. Data Eng.},
volume = {5},
number = {1},
year = {1993},
pages = {15-28},
ee = {db/journals/tkde/GiordanaSBBM93.html},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
Abstract
The results of extensive experimentation aimed at
assessing the concrete possibilities of automatically
building a diagnostic expert system, to be used in-field in
an industrial domain, by means of machine learning
techniques, are described. The system, ENIGMA, is an
incremental version of the ML-SMART system, which acquires a
network of first-order logic rules, starting from a set of
classified examples and a domain theory. An application is
described that consists of discovering malfunctions in
electromechanical apparatus. ENIGMA's efficacy in acquiring
sophisticated knowledge and handling complex structured
examples is largely due to its underlying database
management system, which supports the learning operators,
defined at the abstract level, with a set of primitives,
taken from the field of deductive databases. An expert
system, MEPS, devoted to the same task, has also been
manually developed. A number of comparisons along different
dimensions of the manual and automatic development process
have been possible, allowing some practical indications to
be suggested.
Copyright © 1993 by The Institute of
Electrical and Electronic Engineers, Inc. (IEEE).
Abstract used with permission.
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BibTeX
References
- [1]
- ...
- [2]
- Ryszard S. Michalski, Igor Mozetic, Jiarong Hong, Nada Lavrac:
The Multi-Purpose Incremental Learning System AQ15 and Its Testing Application to Three Medical Domains.
AAAI 1986: 1041-1047 BibTeX
- [3]
- ...
- [4]
- Steven Minton, Jaime G. Carbonell, Craig A. Knoblock, Daniel Kuokka, Oren Etzioni, Yolanda Gil:
Explanation-Based Learning: A Problem Solving Perspective.
Artif. Intell. 40(1-3): 63-118(1989) BibTeX
- [5]
- J. Ross Quinlan:
Induction of Decision Trees.
Machine Learning 1(1): 81-106(1986) BibTeX
- [6]
- ...
- [7]
- ...
- [8]
- ...
- [9]
- ...
- [10]
- J. Ross Quinlan:
Learning Logical Definitions from Relations.
Machine Learning 5: 239-266(1990) BibTeX
- [11]
- Stephen Muggleton, Cao Feng:
Efficient Induction of Logic Programs.
ALT 1990: 368-381 BibTeX
- [12]
- Roberto Gemello, Franco Mana, Lorenza Saitta:
Rigel: An Inductive Learning System.
Machine Learning 6: 7-35(1991) BibTeX
- [13]
- Frederick Hayes-Roth, John P. McDermott:
An Interference Matching Technique for Inducing Abstractions.
Commun. ACM 21(5): 401-410(1978) BibTeX
- [14]
- Wayne Iba, James Wogulis, Pat Langley:
Trading Off Simplicity and Coverage in Incremental concept Learning.
ML 1988: 73-79 BibTeX
- [15]
- ...
- [16]
- Tom M. Mitchell, Richard M. Keller, Smadar T. Kedar-Cabelli:
Explanation-Based Generalization: A Unifying View.
Machine Learning 1(1): 47-80(1986) BibTeX
- [17]
- Gerald DeJong, Raymond J. Mooney:
Explanation-Based Learning: An Alternative View.
Machine Learning 1(2): 145-176(1986) BibTeX
- [18]
- ...
- [19]
- Francesco Bergadano, Attilio Giordana:
A Knowledge Intensive Approach to Concept Induction.
ML 1988: 305-317 BibTeX
- [20]
- ...
- [21]
- Francesco Bergadano, Attilio Giordana, Lorenza Saitta, Davide De Marchi, Filippo Brancadori:
Integrated Learning in a real Domain.
ML 1990: 322-329 BibTeX
- [22]
- Francesco Bergadano, Attilio Giordana, Lorenza Saitta:
Biasing Induction by Using a Domain Theory: An Experimental Evaluation.
ECAI 1990: 84-89 BibTeX
- [23]
- ...
- [24]
- Ryszard S. Michalski:
A Theory and Methodology of Inductive Learning.
Artif. Intell. 20(2): 111-161(1983) BibTeX
- [25]
- Laurent Vieille:
Recursive Axioms in Deductive Databases: The Query/Subquery Approach.
Expert Database Conf. 1986: 253-267 BibTeX
- [26]
- Jeffrey D. Ullman:
Principles of Database Systems, 2nd Edition.
Computer Science Press 1982, ISBN 0-914894-36-6
BibTeX
- [27]
- Lawrence J. Henschen, Shamim A. Naqvi:
On compiling queries in recursive first-order databases.
J. ACM 31(1): 47-85(1984) BibTeX
- [28]
- ...
- [29]
- Marco Botta, Attilio Giordana:
Learning Quantitative Features in a Symbolic Environment.
ISMIS 1991: 296-305 BibTeX
- [30]
- ...
- [31]
- ...
- [32]
- Marco Botta, Lorenza Saitta:
Use of Causal Models and Abduction in Learning Diagnostic Knowledge.
International Journal of Man-Machine Studies 36(2): 289-307(1992) BibTeX
- [33]
- ...
- [34]
- ...
BibTeX
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