现货 Phase Transitions in Machine Learning[9780521763912]

747 九五品

仅1件

上海宝山

认证卖家担保交易快速发货售后保障

作者Saitta, Lorenza ; Giordana, Attilio ; Cornuéjols, Antoine

出版社Cambridge University Press

ISBN9780521763912

出版时间2011-06

装帧精装

纸张其他

页数410页

正文语种英语

上书时间2023-03-31

已实名已认证进店收藏店铺

商品描述: Phase transitions typically occur in combinatorial computational problems and have important consequences, especially with the current spread of statistical relational learning as well as sequence learning methodologies. In Phase Transitions in Machine Learning the authors begin by describing in detail this phenomenon, and the extensive experimental investigation that supports its presence. They then turn their attention to the possible implications and explore appropriate methods for tackling them. Weaving together fundamental aspects of computer science, statistical physics and machine learning, the book provides sufficient mathematics and physics background to make the subject intelligible to researchers in AI and other computer science communities. Open research issues are also discussed, suggesting promising directions for future research.

— 没有更多了 —