Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/40593
DC FieldValue
dc.titleLearning in friedberg numberings
dc.contributor.authorJain, S.
dc.contributor.authorStephan, F.
dc.date.accessioned2013-07-04T08:07:54Z
dc.date.available2013-07-04T08:07:54Z
dc.date.issued2007
dc.identifier.citationJain, S.,Stephan, F. (2007). Learning in friedberg numberings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 4754 LNAI : 79-93. ScholarBank@NUS Repository.
dc.identifier.isbn9783540752240
dc.identifier.issn03029743
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/40593
dc.description.abstractIn this paper we consider learnability in some special numberings, such as Friedberg numberings, which contain all the recursively enumerable languages, but have simpler grammar equivalence problem compared to acceptable numberings. We show that every explanatorily learnable class can be learnt in some Friedberg numbering. However, such a result does not hold for behaviourally correct learning or finite learning. One can also show that some Friedberg numberings are so restrictive that all classes which can be explanatorily learnt in such Friedberg numberings have only finitely many infinite languages. We also study similar questions for several properties of learners such as consistency, conservativeness, prudence, iterativeness and non U-shaped learning. Besides Friedberg numberings, we also consider the above problems for programming systems with if-recursive grammar equivalence problem. © Springer-Verlag Berlin Heidelberg 2007.
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.description.volume4754 LNAI
dc.description.page79-93
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

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