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dc.contributor.authorCsiszár, Imreen_US
dc.contributor.editorFreund, Yoaven_US
dc.date.accessioned2019-04-09T03:10:46Z
dc.date.available2019-04-09T03:10:46Z
dc.date.issued2008en_US
dc.identifier.isbn3540879862en_US
dc.identifier.isbn9783540879862en_US
dc.identifier.otherHPU1161291en_US
dc.identifier.urihttps://lib.hpu.edu.vn/handle/123456789/32562
dc.description.abstractThis book constitutes the refereed proceedings of the 19th International Conference on Algorithmic Learning Theory, ALT 2008, held in Budapest, Hungary, in October 2008, co-located with the 11th International Conference on Discovery Science, DS 2008. The 31 revised full papers presented together with the abstracts of 5 invited talks were carefully reviewed and selected from 46 submissions. The papers are dedicated to the theoretical foundations of machine learning. they address topics such as statistical learning. probability and stochastic processes. boosting and experts. active and query learning. and inductive inference.en_US
dc.format.extent479 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.subjectData Miningen_US
dc.subjectKnowledge Discoveryen_US
dc.titleAlgorithmic Learning Theory: 19th International Conference, ALT 2008, Budapest, Hungary, October 13-16, 2008. Proceedingsen_US
dc.typeBooken_US
dc.size1,316 KBen_US
dc.departmentTechnologyen_US


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