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dc.contributor.authorEiter, Thomasen_US
dc.contributor.editorGavaldá, Ricarden_US
dc.contributor.editorJantke, Klaus P.en_US
dc.contributor.editorTakimoto, Eijien_US
dc.date.accessioned2019-04-09T03:10:41Z
dc.date.available2019-04-09T03:10:41Z
dc.date.issued2003en_US
dc.identifier.isbn3540202919en_US
dc.identifier.isbn9783540202912en_US
dc.identifier.otherHPU1161290en_US
dc.identifier.urihttps://lib.hpu.edu.vn/handle/123456789/32561
dc.description.abstractThis book constitutes the refereed proceedings of the 14th International Conference on Algorithmic Learning Theory, ALT 2003, held in Sapporo, Japan in October 2003. The 19 revised full papers presented together with 2 invited papers and abstracts of 3 invited talks were carefully reviewed and selected from 37 submissions. The papers are organized in topical sections on inductive inference, learning and information extraction, learning with queries, learning with non-linear optimization, learning from random examples, and online prediction.en_US
dc.format.extent313 p.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoenen_US
dc.publisherSpringer-Verlag Berlin Heidelbergen_US
dc.subjectArtificial intelligenceen_US
dc.subjectTechnologyen_US
dc.subjectComputer Communication Networksen_US
dc.subjectMathematical Logic and Formal Languagesen_US
dc.titleAlgorithmic Learning Theory: 14th International Conference, ALT 2003, Sapporo, Japan, October 17-19, 2003. Proceedingsen_US
dc.typeBooken_US
dc.size3,250 KBen_US
dc.departmentTechnologyen_US


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