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Learnability of automatic classes

descriptionPublicationkeyboard_double_arrow_right Article , Part of book or chapter of book , Conference object 01 Jan 2010 English Publisher:Elsevier BVJournal:Journal of Computer and System Sciences, volume 78, pages 1,910-1,927 (issn: 0022-0000, Copyright policy )
Authors: Sanjay Jain 0001; Qinglong Luo; Frank Stephan 0001;

doi: 10.1016/j.jcss.2011.12.011 , 10.1007/978-3-642-13089-2_27

Learnability of automatic classes

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

Related Organizations
Keywords

automatic structures, Computer Networks and Communications, Applied Mathematics, Inductive inference, Computational learning theory, Formal languages and automata, Theoretical Computer Science, Computational Theory and Mathematics, inductive inference, Automatic structures

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 15
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Average
Top 10%
Top 10%
hybrid