| 書目名稱 | Machine Learning and Granular Computing:A Synergistic Design Environment |
| 編輯 | Witold Pedrycz,Shyi-Ming Chen |
| 視頻video | http://file.papertrans.cn/643/642206/642206.mp4 |
| 概述 | A systematic exposure of the concepts, design methodology, and detailed algorithms.Self-contained readable presentation of Machine Learning and Granular Computing with a great deal of new concepts.Pre |
| 叢書名稱 | Studies in Big Data |
| 圖書封面 |  |
| 描述 | .This volume provides the reader with a comprehensive and up-to-date treatise positioned at the junction of the areas of Machine Learning (ML) and Granular Computing (GrC). ML offers a wealth of architectures and learning methods. Granular Computing addresses useful aspects of abstraction and knowledge representation that are of importance in the advanced design of ML architectures. In unison, ML and GrC support advances of the fundamental learning paradigm. As built upon synergy, this unified environment focuses on a spectrum of methodological and algorithmic issues, discusses implementations and elaborates on applications. The chapters bring forward recent developments showing ways of designing synergistic and coherently structured ML-GrC environment. The book will be of interest to a broad audience including researchers and practitioners active in the area of ML or GrC and interested in following its timely trends and new pursuits.. |
| 出版日期 | Book 2024 |
| 關(guān)鍵詞 | Computational Intelligence; Big Data; Machine Learning; Granular Computing; Learning Paradigms |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-66842-5 |
| isbn_softcover | 978-3-031-66844-9 |
| isbn_ebook | 978-3-031-66842-5Series ISSN 2197-6503 Series E-ISSN 2197-6511 |
| issn_series | 2197-6503 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
|Archiver|手機版|小黑屋|
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