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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Veröffentlicht in:	Theory and practice of logic programming Jg. 17; H. 5-6; S. 1010 - 1026
Hauptverfasser:	SHAKERIN, FARHAD, SALAZAR, ELMER, GUPTA, GOPAL
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cambridge, UK Cambridge University Press 01.09.2017
Schlagworte:	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-Zugang:	Volltext
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