| 书目名称 | Interpretable Artificial Intelligence: A Perspective of Granular Computing |
| 编辑 | Witold Pedrycz,Shyi-Ming Chen |
| 视频video | |
| 概述 | Highlights recent research on interpretable Artificial Intelligence.Focuses on a perspective of Granular Computing.Written by experts in the field |
| 丛书名称 | Studies in Computational Intelligence |
| 图书封面 |  |
| 描述 | This book offers a comprehensive treatise on the recent pursuits of Artificial Intelligence (AI) – Explainable Artificial Intelligence (XAI) by casting the crucial features of interpretability and explainability in the original framework of Granular Computing. The innovative perspective established with the aid of information granules provides a high level of human centricity and transparency central to the development of AI constructs. The chapters reflect the breadth of the area and cover recent developments in the methodology, advanced algorithms and applications of XAI to visual analytics, knowledge representation, learning and interpretation. The book appeals to a broad audience including researchers and practitioners interested in gaining exposure to the rapidly growing body of knowledge in AI and intelligent systems. |
| 出版日期 | Book 2021 |
| 关键词 | Computational Intelligence; Artificial Intelligence; AI; Granular Computing; Interpretable Artificial In |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-64949-4 |
| isbn_softcover | 978-3-030-64951-7 |
| isbn_ebook | 978-3-030-64949-4Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
发表于 2025-3-21 18:04:34
