A new algorithm to automate inductive learning of default theories

In inductive learning of a broad concept, an algorithm should be able to distinguish concept examples from exceptions and noisy data. An approach through recursively finding patterns in exceptions turns out to correspond to the problem of learning default theories. Default logic is what humans emplo...

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Bibliographic Details

Published in:	Theory and practice of logic programming Vol. 17; no. 5-6; pp. 1010 - 1026
Main Authors:	SHAKERIN, FARHAD, SALAZAR, ELMER, GUPTA, GOPAL
Format:	Journal Article
Language:	English
Published:	Cambridge, UK Cambridge University Press 01.09.2017
Subjects:	Algorithms Logic programming Logic programs Machine learning Regular Papers non-monotonic logic programming machine learning default reasoning common-sense reasoning inductive logic programming
ISSN:	1471-0684, 1475-3081
Online Access:	Get full text
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