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Guest Editors' foreword

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dc.contributor.authorHutter, Marcus
dc.contributor.authorStephan, Frank
dc.contributor.authorVovk, Vladimir
dc.contributor.authorZeugmann, Thomas
dc.date.accessioned2015-08-14T04:54:48Z
dc.date.available2015-08-14T04:54:48Z
dc.date.issued2013-02-18
dc.description.abstractThis special issue of Theoretical Computer Science is dedicated to the 21st International Conference on Algorithmic Learning Theory (ALT 2010) held in Canberra, Australia, October 6–8, 2010. It contains nine articles that were among the best in the conference. The authors of these papers have been invited by the Special Issue Editors to submit completed versions of their work for this special issue. Once received, these papers underwent the usual refereeing process of Theoretical Computer Science. In the following, we briefly introduce each of the papers.en_AU
dc.identifier.issn0304-3975en_AU
dc.identifier.urihttp://hdl.handle.net/1885/14723
dc.publisherElsevieren_AU
dc.rights© 2012 Elsevier B.V.en_AU
dc.sourceTheoretical Computer Scienceen_AU
dc.subjectalgorithmic learning theoryen_AU
dc.titleGuest Editors' foreworden_AU
dc.typeJournal articleen_AU
local.bibliographicCitation.lastpage3en_AU
local.bibliographicCitation.startpage1en_AU
local.contributor.affiliationHutter, M., Research School of Computer Science, The Australian National Universityen_AU
local.contributor.authoruidu4350841en_AU
local.identifier.citationvolume473en_AU
local.identifier.doi10.1016/j.tcs.2012.10.007en_AU
local.publisher.urlhttp://www.elsevier.com/en_AU
local.type.statusPublished Versionen_AU

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