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Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.ic.2010.11.016
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dc.titleHypothesis spaces for learning
dc.contributor.authorJain, S.
dc.date.accessioned2013-07-04T07:41:18Z
dc.date.available2013-07-04T07:41:18Z
dc.date.issued2011
dc.identifier.citationJain, S. (2011). Hypothesis spaces for learning. Information and Computation 209 (3) : 513-527. ScholarBank@NUS Repository. https://doi.org/10.1016/j.ic.2010.11.016
dc.identifier.issn08905401
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/39424
dc.description.abstractIn this paper we survey some results in inductive inference showing how learnability of a class of languages may depend on the hypothesis space chosen. Additionally, optimal hypothesis spaces, usable for every learnable class, are considered. We also discuss results which consider how learnability is effected if one requires learning using every suitable hypothesis space. © 2010 Elsevier Inc. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.ic.2010.11.016
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1016/j.ic.2010.11.016
dc.description.sourcetitleInformation and Computation
dc.description.volume209
dc.description.issue3
dc.description.page513-527
dc.description.codenINFCE
dc.identifier.isiut000287382300017
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