Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/43293
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dc.titleMitotic classes
dc.contributor.authorJain, S.
dc.contributor.authorStephan, F.
dc.date.accessioned2013-07-23T09:30:11Z
dc.date.available2013-07-23T09:30:11Z
dc.date.issued2007
dc.identifier.citationJain, S.,Stephan, F. (2007). Mitotic classes. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 4539 LNAI : 218-232. ScholarBank@NUS Repository.
dc.identifier.isbn9783540729259
dc.identifier.issn03029743
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/43293
dc.description.abstractFor the natural notion of splitting classes into two disjoint subclasses via a recursive classifier working on texts, the question is addressed how these splittings can look in the case of learnable classes. Here the strength of the classes is compared using the strong and weak reducibility from intrinsic complexity. It is shown that, for explanatorily learnable classes, the complete classes are also mitotic with respect to weak and strong reducibility, respectively. But there is a weak complete class which cannot be split into two classes which are of the same complexity with respect to strong reducibility. It is shown that for complete classes for behaviourally correct learning, one half of each splitting is complete for this learning notion as well. Furthermore, it is shown that explanatorily learnable and recursively enumerable classes always have a splitting into two incomparable classes; this gives an inductive inference counterpart of Sacks Splitting Theorem from recursion theory. © Springer-Verlag Berlin Heidelberg 2007.
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.contributor.departmentMATHEMATICS
dc.description.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.description.volume4539 LNAI
dc.description.page218-232
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

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