Uncountable Automatic Classes and Learning

dc.contributor.authorJAIN, Sanjayen_US
dc.contributor.authorLUO, Qinglongen_US
dc.contributor.authorSEMUKHIN, Pavelen_US
dc.contributor.authorSTEPHAN, Franken_US
dc.date.accessioned2009-02-02T08:30:27Zen_US
dc.date.accessioned2017-01-23T07:00:13Z
dc.date.available2009-02-02T08:30:27Zen_US
dc.date.available2017-01-23T07:00:13Z
dc.date.issued2009-02-02T08:30:27Zen_US
dc.description.abstractIn this paper we consider uncountable classes recognizable by omega-automata and investigate suitable learning paradigms for them. In particular, the counterparts of explanatory, vacillatory and behaviourally correct learning are introduced for this setting. Here the learner reads in parallel the data of a text for a language L from the class plus an omega-index alpha and outputs a sequence of omega-automata such that all but finitely many of these omega-automata accept the index alpha if and only if alpha is an index for L.en_US
dc.format.extent297947 bytesen_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.urihttps://dl.comp.nus.edu.sg/xmlui/handle/1900.100/2896en_US
dc.language.isoenen_US
dc.relation.ispartofseriesTRB1/09en_US
dc.titleUncountable Automatic Classes and Learningen_US
dc.typeTechnical Reporten_US
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