| 書(shū)目名稱 | Introduction to Artificial Intelligence | | 編輯 | Wolfgang Ertel | | 視頻video | http://file.papertrans.cn/474/473435/473435.mp4 | | 概述 | An ideal, quick resource on A.I., excellent for self-study.Presents an application-focused and hands-on approach to learning the subject.Provides study exercises at the end of each chapter, in additio | | 叢書(shū)名稱 | Undergraduate Topics in Computer Science | | 圖書(shū)封面 |  | | 描述 | This concise and accessible textbook supports a foundation or module course on A.I., covering a broad selection of the subdisciplines within this field. The book presents concrete algorithms and applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks and reinforcement learning. Topics and features: presents an application-focused and hands-on approach to learning the subject; provides study exercises of varying degrees of difficulty at the end of each chapter, with solutions given at the end of the book; supports the text with highlighted examples, definitions, and theorems; includes chapters on predicate logic, PROLOG, heuristic search, probabilistic reasoning, machine learning and data mining, neural networks and reinforcement learning; contains an extensive bibliography for deeper reading on further topics; supplies additional teaching resources, including lecture slides and training data for learning algorithms, at an associated website. | | 出版日期 | Textbook Mar 20111st edition | | 關(guān)鍵詞 | Artificial Intelligence | | 版次 | 1 | | doi | https://doi.org/10.1007/978-0-85729-299-5 | | issn_series | 1863-7310 | | copyright | Springer-Verlag London Ltd., part of Springer Nature 2011 |
The information of publication is updating
|
|
|Archiver|手機(jī)版|小黑屋|
派博傳思國(guó)際
( 京公網(wǎng)安備110108008328)
GMT+8, 2026-1-27 07:43
發(fā)表于 2025-3-21 18:25:58
