Prescribed Learning of R.E. Classes

dc.contributor.authorJAIN, Sanjayen_US
dc.contributor.authorSTEPHAN, Franken_US
dc.contributor.authorYE, Nanen_US
dc.date.accessioned2007-10-23T01:33:46Zen_US
dc.date.accessioned2017-01-23T07:00:27Z
dc.date.available2007-10-23T01:33:46Zen_US
dc.date.available2017-01-23T07:00:27Z
dc.date.issued2007-10-11en_US
dc.description.abstractThis work extends studies of Angluin, Lange and Zeugmann on the dependence of learning on the hypotheses space chosen for the class. In subsequent investigations, uniformly recursively enumerable hypotheses spaces have been considered. In the present work, the following four types of learning are distinguished: class-comprising (where the learner can choose a uniformly recursively enumerable superclass as hypotheses space), class-preserving (where the learner has to choose a uniformly recursively enumerable hypotheses space of the same class), prescribed (where there must be a learner for every uniformly recursively enumerable hypotheses space of the same class) and uniform (like prescribed, but the learner has to be synthesized effectively from an index of the hypothesis space). While for explanatory learning, these four types of learnability coincide, some or all are different for other learning criteria. For example, for conservative learning, all four types are different. Several results are obtained for vacillatory and behaviourally correct learning; three of the four types can be separated, however the relation between prescribed and uniform learning remains open. It is also shown that every (not necessarily uniformly recursively enumerable) behaviourally correct learnable class has a prudent learner, that is, a learner using a hypotheses space such that it learns every set in the hypotheses space. Moreover the prudent learner can be effectively built from any learner for the class.en_US
dc.format.extent441770 bytesen_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.urihttps://dl.comp.nus.edu.sg/xmlui/handle/1900.100/2576en_US
dc.language.isoenen_US
dc.relation.ispartofseriesTR10/07en_US
dc.titlePrescribed Learning of R.E. Classesen_US
dc.typeTechnical Reporten_US
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