| 期刊全称 | Algorithmic Learning Theory | | 期刊简称 | 21st International C | | 影响因子2023 | Marcus Hutter,Frank Stephan,Thomas Zeugmann | | 视频video | | | 发行地址 | unique visibility, state-of-the-art survey,.fast-track conference proceedings | | 学科分类 | Lecture Notes in Computer Science | | 图书封面 |  | | 影响因子 | 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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发表于 2025-3-21 16:51:16
