| 书目名称 | Machine Learning | | 副标题 | An Artificial Intell | | 编辑 | Ryszard S. Michalski (Professor of Computer Scienc | | 视频video | | | 丛书名称 | Symbolic Computation | | 图书封面 |  | | 描述 | The ability to learn is one of the most fundamental attributes of intelligent behavior. Consequently, progress in the theory and computer modeling of learn ing processes is of great significance to fields concerned with understanding in telligence. Such fields include cognitive science, artificial intelligence, infor mation science, pattern recognition, psychology, education, epistemology, philosophy, and related disciplines. The recent observance of the silver anniversary of artificial intelligence has been heralded by a surge of interest in machine learning-both in building models of human learning and in understanding how machines might be endowed with the ability to learn. This renewed interest has spawned many new research projects and resulted in an increase in related scientific activities. In the summer of 1980, the First Machine Learning Workshop was held at Carnegie-Mellon University in Pittsburgh. In the same year, three consecutive issues of the Inter national Journal of Policy Analysis and Information Systems were specially devoted to machine learning (No. 2, 3 and 4, 1980). In the spring of 1981, a special issue of the SIGART Newsletter No. 76 reviewed current res | | 出版日期 | Book 1983 | | 关键词 | Lernender Automat; Mathematische Lerntheorie; artificial intelligence; behavior; cognition; epistemology; | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-662-12405-5 | | isbn_softcover | 978-3-662-12407-9 | | isbn_ebook | 978-3-662-12405-5 | | copyright | Springer-Verlag Berlin Heidelberg 1983 |
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发表于 2025-3-21 17:43:28
