Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.tcs.2008.02.031
DC FieldValue
dc.titleLearning and extending sublanguages
dc.contributor.authorJain, S.
dc.contributor.authorKinber, E.
dc.date.accessioned2013-07-04T07:41:31Z
dc.date.available2013-07-04T07:41:31Z
dc.date.issued2008
dc.identifier.citationJain, S., Kinber, E. (2008). Learning and extending sublanguages. Theoretical Computer Science 397 (1-3) : 233-246. ScholarBank@NUS Repository. https://doi.org/10.1016/j.tcs.2008.02.031
dc.identifier.issn03043975
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/39434
dc.description.abstractA number of natural models for learning in the limit are introduced to deal with the situation when a learner is required to provide a grammar covering the input even if only a part of the target language is available. Examples of language families are exhibited that are learnable in one model and not learnable in another one. Some characterizations for learnability of algorithmically enumerable families of languages for the models in question are obtained. Since learnability of any part of the target language does not imply monotonicity of the learning process, we consider our models also under the additional monotonicity constraint. © 2008 Elsevier Ltd. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.tcs.2008.02.031
dc.sourceScopus
dc.subjectInductive inference
dc.subjectLearning sublanguages
dc.typeArticle
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1016/j.tcs.2008.02.031
dc.description.sourcetitleTheoretical Computer Science
dc.description.volume397
dc.description.issue1-3
dc.description.page233-246
dc.description.codenTCSCD
dc.identifier.isiut000256199300012
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