| 期刊全稱 | Algorithmic Learning Theory | | 期刊簡稱 | 21st International C | | 影響因子2023 | Marcus Hutter,Frank Stephan,Thomas Zeugmann | | 視頻video | http://file.papertrans.cn/153/152984/152984.mp4 | | 發(fā)行地址 | unique visibility, state-of-the-art survey,.fast-track conference proceedings | | 學(xué)科分類 | Lecture Notes in Computer Science | | 圖書封面 |  | | 影響因子 | This volume contains the papers presented at the 21st International Conf- ence on Algorithmic Learning Theory (ALT 2010), which was held in Canberra, Australia, October 6–8, 2010. The conference was co-located with the 13th - ternational Conference on Discovery Science (DS 2010) and with the Machine Learning Summer School, which was held just before ALT 2010. The tech- cal program of ALT 2010, contained 26 papers selected from 44 submissions and ?ve invited talks. The invited talks were presented in joint sessions of both conferences. ALT 2010 was dedicated to the theoretical foundations of machine learning and took place on the campus of the Australian National University, Canberra, Australia. ALT provides a forum for high-quality talks with a strong theore- cal background and scienti?c interchange in areas such as inductive inference, universal prediction, teaching models, grammatical inference, formal languages, inductive logic programming, query learning, complexity of learning, on-line learning and relative loss bounds, semi-supervised and unsupervised learning, clustering,activelearning,statisticallearning,supportvectormachines,Vapnik- Chervonenkisdimension,probablyapproximat | | Pindex | Conference proceedings 2010 |
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