Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/114325
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dc.titleElementary formal systems, intrinsic complexity, and procrastination
dc.contributor.authorJain, Sanjay
dc.contributor.authorSharma, Arun
dc.date.accessioned2014-12-02T06:52:43Z
dc.date.available2014-12-02T06:52:43Z
dc.date.issued1996
dc.identifier.citationJain, Sanjay,Sharma, Arun (1996). Elementary formal systems, intrinsic complexity, and procrastination. Proceedings of the Annual ACM Conference on Computational Learning Theory : 181-191. ScholarBank@NUS Repository.
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/114325
dc.description.abstractThe learnability of the subclasses of elementary formal systems (EFS) are analyzed by employing two distinct bodies of abstract studies in the inductive inference literature. The first approach uses constructive ordinals to bound the number of mind changes, while the second adapts reductions for the intrinsic complexity of learnable classes. Results show that ordinal mind change complexity for identification of languages formed by unions of up to n pattern languages is ω+n$/. Results that relate topological properties of learnable classes to that of intrinsic complexity and ordinal mind change complexity are also presented.
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentINFORMATION SYSTEMS & COMPUTER SCIENCE
dc.description.sourcetitleProceedings of the Annual ACM Conference on Computational Learning Theory
dc.description.page181-191
dc.description.coden215
dc.identifier.isiutNOT_IN_WOS
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