机器学习与粒度计算：协同设计环境

English | 2024 | ISBN: 978-3-031-66842-5 | 355 pages | True EPUB PDF | 82 MB

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.

英文| 2024 |国际标准图书编号：978-3-031-66842-5 | 355页|真正的EPUB PDF | 82 MB 本书为读者提供了一篇全面而最新的论文，位于机器学习（ML）和粒度计算（GrC）领域的交界处。ML提供了丰富的架构和学习方法。粒度计算解决了抽象和知识表示的有用方面，这些方面在机器学习架构的高级设计中非常重要。ML和GrC一致支持基础学习范式的进步。基于协同效应，这个统一的环境专注于一系列方法和算法问题，讨论实现并阐述应用。这些章节提出了最近的发展，展示了设计协同和连贯结构的ML-GrC环境的方法。这本书将引起广大读者的兴趣，包括活跃在机器学习或GrC领域的研究人员和从业者，并有兴趣关注其及时的趋势和新的追求。

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