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Algorithmic learning theory : 21st International Conference, ALT 2010, Canberra, Australia, October 6-8, 2010, proceedings

dc.contributor.authorHutter, Marcus
dc.contributor.authorStephan, Frank
dc.contributor.authorVovk, Vladimir
dc.contributor.authorZeugmann, Thomas
dc.date.accessioned2015-08-24T01:55:07Z
dc.date.available2015-08-24T01:55:07Z
dc.date.issued2010-10
dc.description.abstractThis book constitutes the refereed proceedings of the 21th International Conference on Algorithmic Learning Theory, ALT 2010, held in Canberra, Australia, in October 2010, co-located with the 13th International Conference on Discovery Science, DS 2010. The 26 revised full papers presented together with the abstracts of 5 invited talks were carefully reviewed and selected from 44 submissions. The papers are divided into topical sections of papers on statistical learning; grammatical inference and graph learning; probably approximately correct learning; query learning and algorithmic teaching; on-line learning; inductive inference; reinforcement learning; and on-line learning and kernel methods.en_AU
dc.identifier.isbn978-3-642-16107-0en_AU
dc.identifier.issn0302-9743en_AU
dc.identifier.urihttp://hdl.handle.net/1885/14880
dc.publisherSpringer Verlagen_AU
dc.rights© 2010 Springer-Verlag Berlin Heidelbergen_AU
dc.subjectComputer algorithmsen_AU
dc.subjectMachine learningen_AU
dc.titleAlgorithmic learning theory : 21st International Conference, ALT 2010, Canberra, Australia, October 6-8, 2010, proceedingsen_AU
dc.typeBooken_AU
local.bibliographicCitation.lastpage421en_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.citationvolume6331en_AU
local.identifier.doi10.1007/978-3-642-16108-7en_AU
local.type.statusMetadata onlyen_AU

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