Algorithmic Learning Theory: 11th International Conference, ALT 2000 Sydney, Australia, December 11–13, 2000 Proceedings

dc.contributor.author	Cohen, William W.	en_US
dc.contributor.editor	Arimura, Hiroki	en_US
dc.contributor.editor	Jain, Sanjay	en_US
dc.contributor.editor	Sharma, Arun	en_US
dc.date.accessioned	2019-03-26T08:32:24Z
dc.date.available	2019-03-26T08:32:24Z
dc.date.issued	2000	en_US
dc.identifier.isbn	3540412379	en_US
dc.identifier.isbn	9783540412373	en_US
dc.identifier.other	HPU1161250	en_US
dc.identifier.uri	https://lib.hpu.edu.vn/handle/123456789/32325
dc.description.abstract	This 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.extent	350 p.	en_US
dc.format.mimetype	application/pdf
dc.language.iso	en	en_US
dc.publisher	Springer-Verlag Berlin Heidelberg	en_US
dc.subject	Artificial Intelligence	en_US
dc.subject	Technology	en_US
dc.subject	Computation	en_US
dc.title	Algorithmic Learning Theory: 11th International Conference, ALT 2000 Sydney, Australia, December 11–13, 2000 Proceedings	en_US
dc.type	Book	en_US
dc.size	4,096 KB	en_US
dc.department	Technology	en_US