Learnability of Automatic Classes

dc.contributor.authorJAIN, Sanjayen_US
dc.contributor.authorLUO, Qinglongen_US
dc.contributor.authorSTEPHAN, Franken_US
dc.date.accessioned2009-01-29T02:57:33Zen_US
dc.date.accessioned2017-01-23T07:00:09Z
dc.date.available2009-01-29T02:57:33Zen_US
dc.date.available2017-01-23T07:00:09Z
dc.date.issued2009-01-29T02:57:33Zen_US
dc.description.abstractThe present work initiates the study of the learnability of automatic indexable classes which are classes of regular languages of a certain form. It is characterised which of these classes are explanatorily learnable. Furthermore, the notion of an automatic iterative learner is introduced and it is studied for automatic classes whether they are learnable by an automatic iterative learner, learnable by an automatic iterative learner with additional long-term memory or unlearnable by such a learner. The dependence of the learnability on the indexing is also investigated. This work brings together the fields of inductive inference and automatic structures.en_US
dc.format.extent276953 bytesen_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.urihttps://dl.comp.nus.edu.sg/xmlui/handle/1900.100/2895en_US
dc.language.isoenen_US
dc.relation.ispartofseriesTRA1/09en_US
dc.titleLearnability of Automatic Classesen_US
dc.typeTechnical Reporten_US
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