121,88 €
143,39 €
Algorithmic Learning Theory
121,88 € 
- Išsiųsime per 10–14 d.d.
This 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 an…
121.88
2025-07-06 23:59:00
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- Leidėjas: Springer-Verlag GmbH
- Metai: 2010
- ISBN-10: 3642161073
- ISBN-13: 9783642161070
- Formatas: 15.9 x 23.8 x 2.5 cm, minkšti viršeliai
- Kalba: Anglų
- Extra -15 % nuolaida šiai knygai su kodu: ENG15
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This 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.EXTRA 15 % nuolaida
121,88 €
143,39 €
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- Leidėjas: Springer-Verlag GmbH
- Metai: 2010
- ISBN-10: 3642161073
- ISBN-13: 9783642161070
- Formatas: 15.9 x 23.8 x 2.5 cm, minkšti viršeliai
- Kalba: Anglų
This 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.
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