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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Vydané v:	Theory and practice of logic programming Ročník 17; číslo 5-6; s. 1010 - 1026
Hlavní autori:	SHAKERIN, FARHAD, SALAZAR, ELMER, GUPTA, GOPAL
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cambridge, UK Cambridge University Press 01.09.2017
Predmet:	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
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