Please use this identifier to cite or link to this item: https://lib.hpu.edu.vn/handle/123456789/32325
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dc.contributor.authorCohen, William W.en_US
dc.contributor.editorArimura, Hirokien_US
dc.contributor.editorJain, Sanjayen_US
dc.contributor.editorSharma, Arunen_US
dc.date.accessioned2019-03-26T08:32:24Z-
dc.date.available2019-03-26T08:32:24Z-
dc.date.issued2000en_US
dc.identifier.isbn3540412379en_US
dc.identifier.isbn9783540412373en_US
dc.identifier.otherHPU1161250en_US
dc.identifier.urihttps://lib.hpu.edu.vn/handle/123456789/32325-
dc.description.abstractThis book constitutes the refereed proceedings of the 11th International Conference on Algorithmic Learning Theory, ALT 2000, held in Sydney, Australia in December 2000. The 22 revised full papers presented together with three invited papers were carefully reviewed and selected from 39 submissions. The papers are organized in topical sections on statistical learning, inductive logic programming, inductive inference, complexity, neural networks and other paradigms, support vector machines.en_US
dc.format.extent350 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.subjectComputationen_US
dc.titleAlgorithmic Learning Theory: 11th International Conference, ALT 2000 Sydney, Australia, December 11–13, 2000 Proceedingsen_US
dc.typeBooken_US
dc.size4,096 KBen_US
dc.departmentTechnologyen_US
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