Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0304-3975(00)00385-6
DC FieldValue
dc.titleControl structures in hypothesis spaces: The influence on learning
dc.contributor.authorCase, J.
dc.contributor.authorJain, S.
dc.contributor.authorSuraj, M.
dc.date.accessioned2013-07-04T07:31:23Z
dc.date.available2013-07-04T07:31:23Z
dc.date.issued2002
dc.identifier.citationCase, J., Jain, S., Suraj, M. (2002). Control structures in hypothesis spaces: The influence on learning. Theoretical Computer Science 270 (1-2) : 287-308. ScholarBank@NUS Repository. https://doi.org/10.1016/S0304-3975(00)00385-6
dc.identifier.issn03043975
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/38986
dc.description.abstractIn any learnability setting, hypotheses are conjectured from some hypothesis space. Studied herein are the influence on learnability of the presence or absence of certain control structures in the hypothesis space. First presented are control structure characterizations of some rather specific but illustrative learnability results. The presence of these control structures is thereby shown essential to maintain full learning power. Then presented are the main theorems. Each of these non-trivially characterizes the invariance of a learning class over hypothesis space V and the presence of a particular projection control structure, called proj, in V as: V has suitable instances of all denotational control structures. In a sense, then, proj epitomizes the control structures whose presence need not help and whose absence need not hinder learning power. © 2002 Elsevier Science B.V. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/S0304-3975(00)00385-6
dc.sourceScopus
dc.subjectComputational learning theory
dc.subjectControl structures
dc.subjectInductive inference
dc.subjectLanguages
dc.subjectNumberings
dc.typeArticle
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1016/S0304-3975(00)00385-6
dc.description.sourcetitleTheoretical Computer Science
dc.description.volume270
dc.description.issue1-2
dc.description.page287-308
dc.description.codenTCSCD
dc.identifier.isiut000173012000008
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